watch-pr-feedback

watch-pr-feedback is a skill for Claude Code from flurdy/agent-skills. It costs 47 tokens per session (4,928 once invoked), scanned A, original, MIT.

A scheduled monitor for new or changed feedback on the user's open GitHub pull requests. It checks actionable items and presents them in a decision queue.

In plain words
What is it for?
It is for tracking pull-request comments, validating review issues, and deciding how to handle requested changes.
Why use it?
It reduces repeated manual checking and helps ensure that new review feedback is validated once without taking action automatically.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool; mentions Claude Code.

Good fit It is for tracking pull-request comments, validating review issues, and deciding how to handle requested changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flurdy/agent-skills/watch-pr-feedback
Install

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.

Any agent
npx skills add flurdy/agent-skills --skill watch-pr-feedback
Clone the repo
git clone --depth 1 https://github.com/flurdy/agent-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for watch-pr-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/flurdy/agent-skills/watch-pr-feedback/github.svg)](https://agentmods.dev/skills/flurdy/agent-skills/watch-pr-feedback)
Your own site
<a href="https://agentmods.dev/skills/flurdy/agent-skills/watch-pr-feedback"><img src="https://agentmods.dev/badge/skills/flurdy/agent-skills/watch-pr-feedback/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.

agentmods 80×15 button for watch-pr-feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/flurdy/agent-skills/watch-pr-feedback"><img src="https://agentmods.dev/badge/skills/flurdy/agent-skills/watch-pr-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,928 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 9
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.04928
Opus 5 $0.00023 $0.02464
Sonnet 5 $0.00009 $0.00986
Haiku 4.5 $0.00005 $0.00493

Measured 7d ago against content hash 25d678461a34, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

watch-pr-feedback scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/test-skill-contract.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

feedback inventory: never invoke `gh api` directly, use `curl`, or call a bulk compatibility
skills/watch-pr-feedback/SKILL.md · 386 lines

How it starts

The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Watch PR Feedback

Watch open PRs for normalized feedback events, independently validate new actionable claims, and render a concise queue. This skill composes /pr-status discovery and inventory behavior with the read-only validation boundary from /review-comments; it does not replace either skill and does not create another scheduler.

Usage

/watch-pr-feedback                    # adaptive, read-only, stop at 18:00
/watch-pr-feedback attended           # adaptive, attended, stop at 18:00
/watch-pr-feedback 10m 17             # fixed 10m, read-only, stop at 17:00
/watch-pr-feedback attended 5m 17     # fixed 5m, attended, stop at 17:00
/watch-pr-feedback reset              # clear this session's seen/retry state
/watch-pr-feedback recheck            # one read-only validation pass, ignoring seen state
/watch-pr-feedback status             # show runtime and bounded state summary

Parse at most one mode (attended; absent means read-only), one positive \d+m fixed interval, and one stop hour from 0 through 23 (default 18). No interval means adaptive mode. Reject unknown or duplicate arguments. Resolve today's stop hour in local time and do not start at or past it.

Safety boundary

Default read-only mode never prompts and never edits code, changes the working tree, runs commands that may create build artifacts, publishes GitHub content, changes thread state, or changes Git history. It may read local files and metadata, inspect a PR diff, existing tests, and CI. Attended mode has the same mutation boundary; its question only controls acknowledgment and watcher state. A semantic classification, validation outcome, or answer is never permission to mutate code or GitHub. Stop the watcher and invoke the appropriate attended workflow separately for any action.

Do not switch branches, fetch remotes, or create a checkout. Never assume the current directory is the checkout for a PR merely because repository names look related. Do not run shell, Git, filesystem, workspace, or authentication preflight probes when starting the watcher. In ticks, never improvise a shell loop or workspace scan; use only the allowlisted checkout helper below.

Read the full file on GitHub · 386 lines

Files

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.

Changes

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.

  1. 7d ago First seen · 386 lines · 47 tokens per session scan A 25d678461a34

Subscribe to this mod's changes

watch-pr-feedback is a skill published in the GitHub repository flurdy/agent-skills (9 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 4,928 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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