Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add flurdy/agent-skills --skill watch-prsgit clone --depth 1 https://github.com/flurdy/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/flurdy/agent-skills/watch-prs)<a href="https://agentmods.dev/skills/flurdy/agent-skills/watch-prs"><img src="https://agentmods.dev/badge/skills/flurdy/agent-skills/watch-prs/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/flurdy/agent-skills/watch-prs"><img src="https://agentmods.dev/badge/skills/flurdy/agent-skills/watch-prs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.01604 |
| Opus 5 | $0.00026 | $0.00802 |
| Sonnet 5 | $0.00011 | $0.00321 |
| Haiku 4.5 | $0.00005 | $0.00160 |
Grade A, and why
watch-prs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Watch PRs
Run /pr-status on a self-rescheduling loop until a stop hour. Each tick is an ordinary
/pr-status run that ends by scheduling the next one. Unattended — leave it in a tab.
/pr-status owns the shared read-only feedback call at
~/.agents/skills/pr-status/scripts/gh-pr-feedback.py; the watcher must not duplicate it. This
preserves stable identity/update comparisons and makes partial fetches visible on each dashboard.
Usage
/watch-prs # adaptive cadence, stop at 18:00 (default)
/watch-prs 17 # adaptive, stop at 17:00
/watch-prs 10m # fixed 10-minute interval, stop at 18:00
/watch-prs 5m 17 # fixed 5m, stop at 17:00
Instructions
Parse arguments: a positive interval matching \d+m (absent → adaptive mode, the default), and a
stop hour from 0 through 23 (default 18). If an argument is invalid, explain the accepted
forms and stop. Resolve today's stop hour in local time. If the current time is already at or past
that deadline, say so and don't start.
Pi protocol v1
If watch_loop is available, use this path instead of Claude scheduling:
-
Call
watch_loopwithaction: status. Continue only when its result reportsprotocolVersion: 1. If another watch isarmed,running, orpaused, do not replace it; show the status and point at/watch-status,/watch-stop, or/watch-resume. If the version differs, explain the mismatch and stop without scheduling anything. -
Convert today's local stop hour to an ISO-8601 timestamp with its timezone offset for
stopAt. -
Use this self-contained tick prompt in the start call:
Load and follow the skill named `pr-status` now. Render its full dashboard as visible text. Do not execute any suggested action. Read the final `next-tick:` line and use its numeric N as the adaptive delay when required. Finish only after the dashboard with the matching `watch_loop complete` call injected by the runtime. -
For adaptive mode, make the terminating start call with:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 145 lines · 53 tokens per session scan A a6aeab3bd593
watch-prs is a skill published in the GitHub repository flurdy/agent-skills (9 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 1,604 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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