--- 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 | `` / `` | | `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: `## \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.