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112 changes: 112 additions & 0 deletions optional-skills/devops/watchers/SKILL.md
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---
name: watchers
description: Poll RSS, JSON APIs, and GitHub with watermark dedup.
version: 1.0.0
author: Hermes Agent
license: MIT
platforms: [linux, macos]
metadata:
hermes:
tags: [cron, polling, rss, github, http, automation, monitoring]
category: devops
requires_toolsets: [terminal]
related_skills: []
---

# Watchers

Poll external sources on an interval and react only to new items. Three ready-made scripts plus a shared watermark helper; wire them into a cron job (or run them ad-hoc from the terminal).

## When to Use

- User wants to watch an RSS/Atom feed and be notified of new entries
- User wants to watch a GitHub repo's issues / pulls / releases / commits
- User wants to poll an arbitrary JSON endpoint and get notified on new items
- User asks for "a watcher for X" or "notify me when X changes"

## Mental model

A watcher is just a script that:

1. Fetches data from the external source
2. Compares against a watermark file of previously-seen IDs
3. Writes the new watermark back
4. Prints new items to stdout (or nothing on no-change)

The scripts below handle all three. The agent runs them via the terminal tool — from a cron job, a webhook, or an interactive chat — and reports what's new.

## Ready-made scripts

All three live in `$HERMES_HOME/skills/devops/watchers/scripts/` once the skill is installed. Each reads `WATCHER_STATE_DIR` (defaults to `$HERMES_HOME/watcher-state/`) for its state file, keyed by the `--name` argument.

| Script | What it watches | Dedup key |
|---|---|---|
| `watch_rss.py` | RSS 2.0 or Atom feed URL | `<guid>` / `<id>` |
| `watch_http_json.py` | Any JSON endpoint returning a list of objects | Configurable id field |
| `watch_github.py` | GitHub issues / pulls / releases / commits for a repo | `id` / `sha` |

All three:

- First run records a baseline — never replays existing feed
- Watermark is a bounded ID set (max 500) to cap memory
- Output format: `## <title>\n<url>\n\n<optional body>` per item
- Empty stdout on no-new — the caller treats that as silent
- Non-zero exit on fetch errors

## Usage

Run a watcher directly from the terminal tool:

```bash
python $HERMES_HOME/skills/devops/watchers/scripts/watch_rss.py \
--name hn --url https://news.ycombinator.com/rss --max 5
```

Watch a GitHub repo (set `GITHUB_TOKEN` in `~/.hermes/.env` to avoid the 60 req/hr anonymous rate limit):

```bash
python $HERMES_HOME/skills/devops/watchers/scripts/watch_github.py \
--name hermes-issues --repo NousResearch/hermes-agent --scope issues
```

Poll an arbitrary JSON API:

```bash
python $HERMES_HOME/skills/devops/watchers/scripts/watch_http_json.py \
--name api --url https://api.example.com/events \
--id-field event_id --items-path data.events
```

## Wiring into cron

Ask the agent to schedule a cron job with a prompt like:

> Every 15 minutes, run `watch_rss.py --name hn --url https://news.ycombinator.com/rss`. If it prints anything, summarize the headlines and deliver them. If it prints nothing, stay silent.

The agent invokes the script via the terminal tool inside the cron job's agent loop; no changes to cron's built-in `--script` flag are needed.

## State files

Every watcher writes `$HERMES_HOME/watcher-state/<name>.json`. Inspect:

```bash
cat $HERMES_HOME/watcher-state/hn.json
```

Force a replay (next run treated as first poll):

```bash
rm $HERMES_HOME/watcher-state/hn.json
```

## Writing your own

All three scripts use the same template: load watermark, fetch, diff, save, emit. `scripts/_watermark.py` is the shared helper; import it to get atomic writes + bounded ID set + first-run baseline for free. See any of the three reference scripts for how little boilerplate it takes.

## Common Pitfalls

1. **Printing a "no new items" header every tick.** Callers rely on empty stdout = silent. If you print anything on an empty delta, you spam the channel. The shipped scripts handle this; custom scripts must too.
2. **Expecting the first run to emit items.** It won't — first run records a baseline. If you need an initial digest, delete the state file after the first run or add a `--prime-with-latest N` flag in your own script.
3. **Unbounded watermark growth.** The shared helper caps at 500 IDs. Raise it for high-churn feeds; lower it on constrained filesystems.
4. **Putting the state dir where the agent's sandbox can't write.** `$HERMES_HOME/watcher-state/` is always writable. Docker/Modal backends may not see arbitrary host paths.

148 changes: 148 additions & 0 deletions optional-skills/devops/watchers/scripts/_watermark.py
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"""Shared watermark helper used by the three watcher scripts.

A watermark is just a JSON file that records the IDs we've seen on previous
runs, so the next run only emits items we haven't seen before.

Contract:
- First run: record all IDs from the fetched batch, emit nothing.
- Subsequent runs: emit items whose ID isn't in the stored set.
- Bounded: keep at most `max_seen` IDs (default 500).
- Atomic: write to a .tmp file and rename, so a crashed script can't
leave a half-written state file that permanently breaks dedup.

Import and use from any custom watcher script:

from _watermark import Watermark

wm = Watermark.load("my-feed-name")
new_items = wm.filter_new(fetched_items, id_key="id")
wm.save()
"""

from __future__ import annotations

import json
import os
from pathlib import Path
from typing import Any, Dict, Iterable, List, Optional


def _state_dir() -> Path:
"""Where watermark files live — respects WATCHER_STATE_DIR override."""
override = os.environ.get("WATCHER_STATE_DIR")
if override:
return Path(override)
# Default: $HERMES_HOME/watcher-state/, falling back to ~/.hermes/watcher-state/.
hermes_home = os.environ.get("HERMES_HOME") or str(Path.home() / ".hermes")
return Path(hermes_home) / "watcher-state"


class Watermark:
"""Per-watcher state. Persisted to <state_dir>/<name>.json."""

def __init__(self, name: str, *, max_seen: int = 500) -> None:
if not name or not name.replace("-", "").replace("_", "").isalnum():
raise ValueError(
f"watermark name must be alphanumeric + '-'/'_' (got {name!r})"
)
self.name = name
self.max_seen = max_seen
self._path = _state_dir() / f"{name}.json"
self._data: Dict[str, Any] = {"seen_ids": [], "first_run": True}

@classmethod
def load(cls, name: str, *, max_seen: int = 500) -> "Watermark":
wm = cls(name, max_seen=max_seen)
if wm._path.exists():
try:
wm._data = json.loads(wm._path.read_text(encoding="utf-8"))
wm._data.setdefault("seen_ids", [])
wm._data["first_run"] = False
except (OSError, json.JSONDecodeError):
# Corrupt state file — treat as a first run but don't crash.
wm._data = {"seen_ids": [], "first_run": True}
return wm

@property
def is_first_run(self) -> bool:
return bool(self._data.get("first_run", True))

@property
def seen(self) -> List[str]:
return list(self._data.get("seen_ids", []))

def filter_new(
self, items: Iterable[Dict[str, Any]], *, id_key: str = "id"
) -> List[Dict[str, Any]]:
"""Return items whose id isn't in the stored set.

Side effect: updates the in-memory seen set with every id in the
batch (so save() persists the full new watermark). On first run,
records every id but returns an empty list (baseline, no replay).
"""
existing = set(str(x) for x in self._data.get("seen_ids", []))
was_first_run = self.is_first_run

new_items: List[Dict[str, Any]] = []
batch_ids: List[str] = []
for item in items:
ident = item.get(id_key)
if ident is None:
continue
ident_str = str(ident)
batch_ids.append(ident_str)
if ident_str in existing:
continue
if was_first_run:
continue # record but don't emit
new_items.append(item)

combined = list(existing) + [i for i in batch_ids if i not in existing]
if len(combined) > self.max_seen:
combined = combined[-self.max_seen:]
self._data["seen_ids"] = combined
self._data["first_run"] = False
return new_items

def save(self) -> None:
self._path.parent.mkdir(parents=True, exist_ok=True)
tmp = self._path.with_suffix(".tmp")
tmp.write_text(
json.dumps(self._data, indent=2, sort_keys=True),
encoding="utf-8",
)
os.replace(tmp, self._path)


def format_items_as_markdown(
items: List[Dict[str, Any]],
*,
title_key: str = "title",
url_key: str = "url",
body_key: Optional[str] = None,
max_body_chars: int = 500,
) -> str:
"""Render a list of items as Markdown for cron delivery.

One heading per item + its URL + optional snippet of body. Output is
empty string when items is empty — cron will then treat stdout as
silent and skip delivery (existing behavior).
"""
if not items:
return ""
lines: List[str] = []
for item in items:
title = (item.get(title_key) or "(no title)").strip()
url = (item.get(url_key) or "").strip()
lines.append(f"## {title}")
if url:
lines.append(url)
if body_key:
body = (item.get(body_key) or "").strip()
if body:
if len(body) > max_body_chars:
body = body[:max_body_chars].rstrip() + "…"
lines.append("")
lines.append(body)
lines.append("")
return "\n".join(lines).rstrip() + "\n"
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