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 richfrem/agent-plugins-skills --skill issue-resolution-reviewergit clone --depth 1 https://github.com/richfrem/agent-plugins-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/richfrem/agent-plugins-skills/issue-resolution-reviewer)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/issue-resolution-reviewer"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/issue-resolution-reviewer/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/richfrem/agent-plugins-skills/issue-resolution-reviewer"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/issue-resolution-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00118 | $0.00809 |
| Opus 5 | $0.00059 | $0.00404 |
| Sonnet 5 | $0.00024 | $0.00162 |
| Haiku 4.5 | $0.00012 | $0.00081 |
Grade A, and why
issue-resolution-reviewer 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 2d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependencies
This skill requires Python 3.8+ and standard library only, plus the gh CLI
(GitHub CLI) authenticated for this repository.
Issue Resolution Reviewer
Performs post-closure quality audits on resolved repository issues labeled
resolution:fixed or resolution:superseded. This is a read-only report generator —
it never mutates issue state or repository files on its own.
Execution Flow
Phase 1: Collect Closed, Resolved Issues
gh issue list --state closed --label "resolution:fixed" --json number,title,closedAt,labels
gh issue list --state closed --label "resolution:superseded" --json number,title,closedAt,labels
Phase 2: Verify Root Cause & Regression State
For each issue:
- Read the issue body and closing comment for the stated root cause and fix commit/PR.
- Check recent test runs, CI logs, and
references/map-debt.mdfor any friction event referencing the same file/component logged after the issue'sclosedAtdate. - Classify each issue:
CONFIRMED_RESOLVED,RECURRING_FRICTION, orINCONCLUSIVE(insufficient evidence either way).
Phase 3: Report — Human Gate Before Any Mutation
This skill never reopens an issue, changes a label, or creates a new issue on its own.
Produce a report table (Issue # | Title | Classification | Evidence) and, for any issue
classified RECURRING_FRICTION, present the specific evidence and ask the user
explicitly whether to:
- Reopen the original issue (
gh issue reopen <n>), or - File a new root-cause consolidation issue per
github-issue-logging-policy.md§3 (dedup search viagh_issue_search.pyfirst, thengh_issue_create.py/gh_issue_comment.pyin dry-run mode per that policy's staged rollout).
What ships with it
4 files 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.
- 2d ago First seen · 76 lines · 118 tokens per session scan A 34fd86017c0c
issue-resolution-reviewer is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 118 tokens to every session and 809 once invoked, about $0.0006 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 2026-09-06.
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