Payload analysis skill improvements - #360
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During a payload-agent run against 4.22.0-0.nightly-2026-03-05-125331, two problems were discovered: 1. The agent used `/payload 4.22 nightly hypershift-ovn-conformance` instead of `/payload-aggregate <underlying-job-name> 10`. The payload trigger logic (aggregated vs non-aggregated commands, polling for bot response, URL extraction) was duplicated inline in both bisect-payload-suspects and stage-payload-reverts, making it easy to skip or get wrong. Extract this into a dedicated trigger-payload-job skill that both skills now reference as the single source of truth. 2. The agent only examined the final retry of each failed job, missing diagnostic signal from previous attempts. The release controller API now returns `previousAttemptURLs` for retried jobs. Update fetch_payloads.py to surface these URLs, and update analyze-payload to instruct subagents to compare failure modes across all retry attempts — consistent failures across retries strongly indicate a product regression vs intermittent/infrastructure issues. Changes: - New skill: trigger-payload-job — handles /payload-aggregate vs /payload-job command selection, idempotency, polling, URL collection - bisect-payload-suspects: replace inline Steps 1.3-1.4 with reference to trigger-payload-job - stage-payload-reverts: replace inline Substep 3 with reference to trigger-payload-job - payload-agent: add note about populating is_aggregated and underlying_job_name for the trigger skill - fetch_payloads.py: output previousAttemptURLs for retried jobs - analyze-payload: pass all attempt URLs to subagents, add retries_consistent and retry_summary to structured return format Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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WalkthroughAdds a new Changes
Sequence DiagramsequenceDiagram
actor Agent as CI Agent
participant PR as GitHub PR
participant Bot as Payload Bot
participant Prow as Prow System
Agent->>Agent: Idempotency check (prior bot runs)
Agent->>PR: Post `/payload-job` or `/payload-aggregate` comment(s)
PR->>Bot: Notify bot of comment
Bot->>Prow: Trigger validation jobs
Bot->>PR: Reply with payload_test_url and prow job URLs (including previousAttemptURLs)
Agent->>Bot: Poll for bot reply (finite retries)
Agent->>Agent: Extract payload_test_url, prow_jobs, previousAttemptURLs, skipped_jobs
Agent->>Agent: Return structured result (pr_url, comment_url, payload_test_url, prow_jobs, skipped_jobs, status, error)
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes 🚥 Pre-merge checks | ✅ 8✅ Passed checks (8 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 3
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⚠️ Outside diff range comments (2)
plugins/ci/skills/bisect-payload-suspects/SKILL.md (1)
125-130:⚠️ Potential issue | 🟡 MinorExample confidence score conflicts with the stated suspect range
Line 12 defines bisect suspects as medium-confidence (
60-84), but Line 129 showsconfidence_score: 42indeferred_suspects. That inconsistency can cause incorrect caller behavior when constructing deferred entries.Suggested doc fix
deferred_suspects: - url: "https://github.com/openshift/mco/pull/5509" number: 5509 component: "machine-config-operator" - confidence_score: 42 + confidence_score: 61🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@plugins/ci/skills/bisect-payload-suspects/SKILL.md` around lines 125 - 130, The example in SKILL.md shows a deferred_suspects entry with confidence_score: 42 which conflicts with the documented medium-confidence suspect range (60-84); update the example so the deferred_suspects confidence_score falls inside the stated range (e.g., set confidence_score to a value between 60 and 84) or adjust the documented suspect range to match the example, and ensure the deferred_suspects and any related bisect suspects examples consistently reference the same confidence range.plugins/ci/skills/stage-payload-reverts/SKILL.md (1)
101-120:⚠️ Potential issue | 🟠 MajorReturn schema is missing per-job URL fields required by Substep 3
Line 101 requires recording individual
prow_urls, but theSTAGED_REVERT_RESULTschema has no field for per-job URLs (onlypayload_jobs_triggered). This creates an output contract mismatch and can drop diagnostic data.Suggested schema update
STAGED_REVERT_RESULT: - original_pr_url: ... - original_pr_number: ... - component: ... - jira_key: TRT-XXXX - jira_url: https://issues.redhat.com/browse/TRT-XXXX - revert_pr_url: https://github.com/org/repo/pull/YYYY - payload_test_url: https://pr-payload-tests.ci.openshift.org/runs/ci/... -- payload_jobs_triggered: job1, job2, ... +- payload_jobs_triggered: + - job_name: job1 + prow_url: https://prow.ci.openshift.org/view/gs/test-platform-results/logs/... + - job_name: job2 + prow_url: https://prow.ci.openshift.org/view/gs/test-platform-results/logs/... - status: success|partial|failed - reused: none|jira|revert_pr|payload_jobs|all - error: none|description🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@plugins/ci/skills/stage-payload-reverts/SKILL.md` around lines 101 - 120, The STAGED_REVERT_RESULT schema lacks per-job URL fields required by Step 3; add a new field (e.g., payload_job_urls or payload_job_prow_urls) to the STAGED_REVERT_RESULT return format that maps each entry from payload_jobs_triggered to its prow_url (or is a list of objects with job and prow_url), and update any code that builds/emits STAGED_REVERT_RESULT (the subagent return generation) to populate payload_job_urls alongside payload_test_url and payload_jobs_triggered so each triggered job's prow_url is preserved for diagnostics.
🧹 Nitpick comments (1)
plugins/ci/skills/trigger-payload-job/SKILL.md (1)
33-41: Narrow idempotency reuse criteria to avoid stale run reuse.Reusing any prior
pr-payload-testsURL on the PR can hide fresh triggers for a new commit or different job set. Consider matching on current head SHA and requested jobs before reusing.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@plugins/ci/skills/trigger-payload-job/SKILL.md` around lines 33 - 41, Narrow the idempotency check that reuses prior pr-payload-tests URLs: when querying PR comments via the gh api command shown, parse and only reuse a found pr-payload-tests.ci.openshift.org/runs/ci/<uuid> URL if that comment/body includes the current PR head SHA and the same requested job set; update the matching logic that currently selects any comment containing "pr-payload-tests" to also verify head SHA and requested job names before skipping to Step 3 (so you avoid reusing stale runs from prior commits or different job lists).
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@plugins/ci/skills/fetch-payloads/fetch_payloads.py`:
- Around line 144-146: The loop assumes info.get("previousAttemptURLs", []) is
always a list; make it defensive by normalizing and validating the value before
iterating: fetch the raw value (e.g., prev_raw =
info.get("previousAttemptURLs")), if prev_raw is None set previous = [], if it's
not a list (use isinstance check) skip or coerce safely (e.g., wrap a single
string into [prev_raw] or set to []), then iterate over previous as currently
done; update the block around the previousAttemptURLs use in fetch_payloads.py
(the info variable and the for i, prev_url in enumerate(...) block) to avoid
TypeError when the field is null or non-list.
In `@plugins/ci/skills/payload-agent/SKILL.md`:
- Around line 102-103: Add a fail-fast validation when assembling failing_jobs
before calling trigger-payload-job: in the bisect-payload-suspects and
stage-payload-reverts code paths (where failing_jobs is constructed and passed
to trigger-payload-job), check each suspect entry and if suspect.is_aggregated
is true and suspect.underlying_job_name is empty/null, do not enqueue/trigger
for that suspect, mark the suspect as a hard error in the report (e.g., add a
failure record or set a status field) and continue; ensure the validation runs
after subagent analysis results are applied so is_aggregated and
underlying_job_name come from analyze-payload Step 5.
In `@plugins/ci/skills/trigger-payload-job/SKILL.md`:
- Around line 35-38: The gh api call that reads issue comments uses the default
ascending order and 30-per-page which can pick stale bot comments; modify the
request URL used in the command string "gh api
\"repos/<org>/<repo>/issues/<pr_number>/comments\"" to include explicit query
params (e.g. ?per_page=100&sort=created&direction=desc) and update the jq
expression to pick the first matching item (replace 'last' with '.[0]' or
similar) so you always get the most recent openshift-ci[bot] pr-payload-tests
comment; apply the same change to the other occurrence noted (lines 71-73).
---
Outside diff comments:
In `@plugins/ci/skills/bisect-payload-suspects/SKILL.md`:
- Around line 125-130: The example in SKILL.md shows a deferred_suspects entry
with confidence_score: 42 which conflicts with the documented medium-confidence
suspect range (60-84); update the example so the deferred_suspects
confidence_score falls inside the stated range (e.g., set confidence_score to a
value between 60 and 84) or adjust the documented suspect range to match the
example, and ensure the deferred_suspects and any related bisect suspects
examples consistently reference the same confidence range.
In `@plugins/ci/skills/stage-payload-reverts/SKILL.md`:
- Around line 101-120: The STAGED_REVERT_RESULT schema lacks per-job URL fields
required by Step 3; add a new field (e.g., payload_job_urls or
payload_job_prow_urls) to the STAGED_REVERT_RESULT return format that maps each
entry from payload_jobs_triggered to its prow_url (or is a list of objects with
job and prow_url), and update any code that builds/emits STAGED_REVERT_RESULT
(the subagent return generation) to populate payload_job_urls alongside
payload_test_url and payload_jobs_triggered so each triggered job's prow_url is
preserved for diagnostics.
---
Nitpick comments:
In `@plugins/ci/skills/trigger-payload-job/SKILL.md`:
- Around line 33-41: Narrow the idempotency check that reuses prior
pr-payload-tests URLs: when querying PR comments via the gh api command shown,
parse and only reuse a found pr-payload-tests.ci.openshift.org/runs/ci/<uuid>
URL if that comment/body includes the current PR head SHA and the same requested
job set; update the matching logic that currently selects any comment containing
"pr-payload-tests" to also verify head SHA and requested job names before
skipping to Step 3 (so you avoid reusing stale runs from prior commits or
different job lists).
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.claude-plugin/marketplace.jsondocs/data.jsonplugins/ci/.claude-plugin/plugin.jsonplugins/ci/skills/analyze-payload/SKILL.mdplugins/ci/skills/bisect-payload-suspects/SKILL.mdplugins/ci/skills/fetch-payloads/SKILL.mdplugins/ci/skills/fetch-payloads/fetch_payloads.pyplugins/ci/skills/payload-agent/SKILL.mdplugins/ci/skills/stage-payload-reverts/SKILL.mdplugins/ci/skills/trigger-payload-job/SKILL.md
Normalize the raw value before iterating: handle None, non-list (wrap a single string), or unexpected types to avoid TypeError. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When assembling failing_jobs before dispatch, validate that aggregated jobs have a non-empty underlying_job_name from the subagent analysis. If missing, record a hard error in the report instead of silently posting an invalid payload command. Validation is enforced at two levels: - payload-agent Step 4: before passing jobs to bisect/stage skills - trigger-payload-job Step 2: before posting the PR comment Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fetch comments in descending order with per_page=100 and pick the first match instead of last, so we always get the most recent openshift-ci[bot] pr-payload-tests comment rather than a stale one. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Actionable comments posted: 1
♻️ Duplicate comments (1)
plugins/ci/skills/fetch-payloads/fetch_payloads.py (1)
144-146:⚠️ Potential issue | 🟠 MajorDefensively normalize
previousAttemptURLsbefore iterating.Line 144 still allows non-list values to flow into Line 145. That can either crash (
TypeError) or render garbage (e.g., iterating a string character-by-character).💡 Proposed fix
- previous = info.get("previousAttemptURLs") or [] - for i, prev_url in enumerate(previous, 1): + prev_raw = info.get("previousAttemptURLs") + if prev_raw is None: + previous = [] + elif isinstance(prev_raw, list): + previous = [u for u in prev_raw if isinstance(u, str) and u] + elif isinstance(prev_raw, str) and prev_raw: + previous = [prev_raw] + else: + previous = [] + + for i, prev_url in enumerate(previous, 1): lines.append(f" attempt {i}: {prev_url}")🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@plugins/ci/skills/fetch-payloads/fetch_payloads.py` around lines 144 - 146, Normalize the previousAttemptURLs value before iterating: ensure the value returned by info.get("previousAttemptURLs") is converted to a list (e.g., map tuples to lists, wrap a single string/URL into a one-element list, and default to [] for None or non-iterable types) so the for-loop over previous (and the lines.append(f" attempt {i}: {prev_url}") call) cannot iterate over a raw string or raise TypeError; update the assignment to validate/coerce previous into a safe list before the for i, prev_url in enumerate(previous, 1) loop.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@plugins/ci/skills/trigger-payload-job/SKILL.md`:
- Around line 97-108: The fenced code block showing the PAYLOAD_JOB_RESULT
example lacks a language identifier (triggering markdownlint MD040); update the
fence that surrounds the PAYLOAD_JOB_RESULT sample to use a language tag (e.g.,
replace the leading ``` with ```yaml) so the block is treated as YAML—ensure the
opening fence before "PAYLOAD_JOB_RESULT:" is changed and the closing fence
remains ``` to keep the block valid in SKILL.md.
---
Duplicate comments:
In `@plugins/ci/skills/fetch-payloads/fetch_payloads.py`:
- Around line 144-146: Normalize the previousAttemptURLs value before iterating:
ensure the value returned by info.get("previousAttemptURLs") is converted to a
list (e.g., map tuples to lists, wrap a single string/URL into a one-element
list, and default to [] for None or non-iterable types) so the for-loop over
previous (and the lines.append(f" attempt {i}: {prev_url}") call)
cannot iterate over a raw string or raise TypeError; update the assignment to
validate/coerce previous into a safe list before the for i, prev_url in
enumerate(previous, 1) loop.
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Actionable comments posted: 1
♻️ Duplicate comments (1)
plugins/ci/skills/trigger-payload-job/SKILL.md (1)
106-121:⚠️ Potential issue | 🟡 MinorAdd a language tag to the return-format fenced block.
Line 106 still uses an untyped fence, which continues to trigger MD040.
Suggested patch
-``` +```yaml PAYLOAD_JOB_RESULT: - pr_url: <the PR URL> - comment_url: <URL of the comment posted> - payload_test_url: <pr-payload-tests URL, or empty if not found> - prow_jobs: - job_name: <job name> prow_url: <individual prow URL> - ... - skipped_jobs: - job_name: <job name> reason: "job trigger limit reached (max 5 non-aggregated, max 1 aggregated per invocation)" - ... - status: triggered|reused|failed - error: none|<description></details> <details> <summary>🤖 Prompt for AI Agents</summary>Verify each finding against the current code and only fix it if needed.
In
@plugins/ci/skills/trigger-payload-job/SKILL.mdaround lines 106 - 121, The
fenced example for PAYLOAD_JOB_RESULT is missing a language tag which triggers
MD040; update the triple-backtick fence that precedes the PAYLOAD_JOB_RESULT
block to include a language (e.g.,yaml) so the block is typed, leaving the contents unchanged; locate the PAYLOAD_JOB_RESULT example in SKILL.md and change the opening fence toyaml to satisfy the linter.</details> </blockquote></details> </blockquote></details> <details> <summary>🤖 Prompt for all review comments with AI agents</summary>Verify each finding against the current code and only fix it if needed.
Inline comments:
In@plugins/ci/skills/payload-agent/SKILL.md:
- Around line 102-107: The doc must state a centralized pre-dispatch allocation
step so global caps can't be exceeded when dispatch is parallel: update the "Job
triggering limits" section to require selecting and reserving the allowed slots
(5 non-aggregated, up to 2 aggregated with the aggregation priority rules)
across BOTH HIGH and MEDIUM suspects before any parallel dispatch starts;
describe the allocation algorithm (prioritize higher-confidence suspects, pick
highest-confidence aggregated candidate first) and note that dispatch should
only run after slots are reserved and that any jobs not allocated must be
recorded as "skipped — job trigger limit reached" in the report.
Duplicate comments:
In@plugins/ci/skills/trigger-payload-job/SKILL.md:
- Around line 106-121: The fenced example for PAYLOAD_JOB_RESULT is missing a
language tag which triggers MD040; update the triple-backtick fence that
precedes the PAYLOAD_JOB_RESULT block to include a language (e.g.,yaml) so the block is typed, leaving the contents unchanged; locate the PAYLOAD_JOB_RESULT example in SKILL.md and change the opening fence toyaml
to satisfy the linter.</details> --- <details> <summary>ℹ️ Review info</summary> <details> <summary>⚙️ Run configuration</summary> **Configuration used**: Path: .coderabbit.yaml **Review profile**: CHILL **Plan**: Pro **Run ID**: `b31798cb-6d2b-4c5d-9d39-ab311124a40e` </details> <details> <summary>📥 Commits</summary> Reviewing files that changed from the base of the PR and between f76d21307f5fa876b608e755f9ecc268498de4c5 and 7dd5d500a548064d9e792f5b99020c94941161d8. </details> <details> <summary>📒 Files selected for processing (3)</summary> * `plugins/ci/skills/bisect-payload-suspects/SKILL.md` * `plugins/ci/skills/payload-agent/SKILL.md` * `plugins/ci/skills/trigger-payload-job/SKILL.md` </details> <details> <summary>🚧 Files skipped from review as they are similar to previous changes (1)</summary> * plugins/ci/skills/bisect-payload-suspects/SKILL.md </details> </details> <!-- This is an auto-generated comment by CodeRabbit for review status -->
Aggregated jobs only re-run the aggregation analysis on retry, not the underlying test jobs. Examining previous attempts provides no additional signal, so instruct subagents to only analyze the most recent attempt for these jobs. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ions Don't prescribe specific tool names (Task tool, subagent_type) in skill instructions — let the model choose the appropriate tool for launching parallel subagents. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Return `no_response` instead of `triggered` when the bot never replies, so callers can distinguish between a successful trigger and no response - Fix YAML result block to use proper mapping syntax with indentation instead of top-level list items Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Actionable comments posted: 1
🧹 Nitpick comments (1)
plugins/ci/skills/analyze-payload/SKILL.md (1)
104-104: Make retry input to subagents deterministic to reduce output variance.Line 110/114 instructions are directionally correct, but parsing quality will improve if you require a stable format (explicit retry count semantics, ordered URL list, and
"none"when empty). This helps keep retry comparisons consistent across parallel subagents.Suggested prompt tightening
-> Analyze the failure at <prow_url>. This job had <N> retries. The previous attempt URLs are: <previous_attempt_urls>. +> Analyze the failure at <prow_url>. +> Retry metadata: +> - retry_count: <N> (N = number of previousAttemptURLs) +> - previous_attempt_urls (oldest→newest): <url1>, <url2>, ... | noneAlso applies to: 110-114
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@plugins/ci/skills/analyze-payload/SKILL.md` at line 104, Update the subagent launch instructions for the Task tool so retry inputs are deterministic: require an explicit numeric "retry_count" field (0 when none), pass an ordered array "attempt_urls" sorted oldest→newest, and use the literal string "none" only when attempt_urls is empty; ensure the text where you instruct to "launch a parallel subagent" and "Pass the subagent the final Prow URL and all previous attempt URLs" specifies these exact field names and formats so all subagents receive stable, comparable retry semantics and URL ordering.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@plugins/ci/skills/analyze-payload/SKILL.md`:
- Around line 138-139: The enum for retries_consistent in SKILL.md is missing a
state that represents jobs with zero retries; update the contract for
retries_consistent to include an explicit zero-retry value (e.g., "none" or
"no_retries") alongside the existing "yes", "no", and "only_final_examined", and
update any references to ANALYSIS_RESULT and retry_summary consumers to handle
this new value so downstream parsers aren’t brittle; ensure documentation and
examples in SKILL.md list the new enum value and mention how retry_summary
should be interpreted when retries_consistent == "none".
---
Nitpick comments:
In `@plugins/ci/skills/analyze-payload/SKILL.md`:
- Line 104: Update the subagent launch instructions for the Task tool so retry
inputs are deterministic: require an explicit numeric "retry_count" field (0
when none), pass an ordered array "attempt_urls" sorted oldest→newest, and use
the literal string "none" only when attempt_urls is empty; ensure the text where
you instruct to "launch a parallel subagent" and "Pass the subagent the final
Prow URL and all previous attempt URLs" specifies these exact field names and
formats so all subagents receive stable, comparable retry semantics and URL
ordering.
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plugins/ci/skills/analyze-payload/SKILL.md
Jobs with zero retries (single attempt only) now return retries_consistent: no_retries instead of leaving the field ambiguous. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Actionable comments posted: 1
♻️ Duplicate comments (1)
plugins/ci/skills/trigger-payload-job/SKILL.md (1)
106-121:⚠️ Potential issue | 🟡 MinorAdd a language identifier to the return-format fenced block.
The opening fence is still untyped, which triggers MD040 and reduces markdown/tooling consistency.
Suggested patch
-``` +```yaml PAYLOAD_JOB_RESULT: pr_url: <the PR URL> comment_url: <URL of the comment posted> payload_test_url: <pr-payload-tests URL, or empty if not found> prow_jobs: - job_name: <job name> prow_url: <individual prow URL> - ... skipped_jobs: - job_name: <job name> reason: "job trigger limit reached (max 5 non-aggregated, max 1 aggregated per invocation)" - ... status: triggered|reused|no_response|failed error: none|<description></details> <details> <summary>🤖 Prompt for AI Agents</summary>Verify each finding against the current code and only fix it if needed.
In
@plugins/ci/skills/trigger-payload-job/SKILL.mdaround lines 106 - 121, The
fenced code block that documents the PAYLOAD_JOB_RESULT return format is missing
a language identifier and triggers MD040; update the opening fence for that
block to include a language (e.g., add "yaml" after the backticks) so the block
becomes a typed fenced code block (reference the PAYLOAD_JOB_RESULT example
block in SKILL.md and the opening ``` fence).</details> </blockquote></details> </blockquote></details> <details> <summary>🤖 Prompt for all review comments with AI agents</summary>Verify each finding against the current code and only fix it if needed.
Inline comments:
In@plugins/ci/skills/analyze-payload/SKILL.md:
- Around line 138-139: The YAML enum values for
ANALYSIS_RESULT.retries_consistent are ambiguous (yes/no) and must be replaced
with explicit string-safe tokens; update the SKILL.md definition for
retries_consistent to use unambiguous literals (e.g.,
"consistent"/"inconsistent" or keep "no_retries"/"only_final_examined") instead
of bare yes/no, and then update any code that reads
ANALYSIS_RESULT.retries_consistent (search for references to ANALYSIS_RESULT and
retries_consistent) to accept the new string values and treat them strictly as
strings (not booleans) when serializing/deserializing YAML and validating enums.
Duplicate comments:
In@plugins/ci/skills/trigger-payload-job/SKILL.md:
- Around line 106-121: The fenced code block that documents the
PAYLOAD_JOB_RESULT return format is missing a language identifier and triggers
MD040; update the opening fence for that block to include a language (e.g., add
"yaml" after the backticks) so the block becomes a typed fenced code block
(reference the PAYLOAD_JOB_RESULT example block in SKILL.md and the opening ```
fence).</details> --- <details> <summary>ℹ️ Review info</summary> <details> <summary>⚙️ Run configuration</summary> **Configuration used**: Path: .coderabbit.yaml **Review profile**: CHILL **Plan**: Pro **Run ID**: `b2e3e234-99e3-4955-889e-fc601f4f3618` </details> <details> <summary>📥 Commits</summary> Reviewing files that changed from the base of the PR and between 0de1e4684a4bf368f847c7a530d965c017eef4d8 and bf9710e06a554a76a3f4cb723483a47c4b6948df. </details> <details> <summary>📒 Files selected for processing (4)</summary> * `plugins/ci/skills/analyze-payload/SKILL.md` * `plugins/ci/skills/bisect-payload-suspects/SKILL.md` * `plugins/ci/skills/stage-payload-reverts/SKILL.md` * `plugins/ci/skills/trigger-payload-job/SKILL.md` </details> <details> <summary>🚧 Files skipped from review as they are similar to previous changes (1)</summary> * plugins/ci/skills/stage-payload-reverts/SKILL.md </details> </details> <!-- This is an auto-generated comment by CodeRabbit for review status -->
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Each F/S marker in the blocking jobs history column should link to the corresponding Prow job URL from that payload, making it easy to inspect any run directly from the summary table. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Improvements to payload analysis and related skills:
no_response(nottriggered) when bot never replies; fix YAML result formatno_retriesenum value —retries_consistentnow distinguishes jobs with zero retries from those where only the final attempt was examined