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 yuri-semenenko/ai-engineering-workspace --skill pr-recheckgit clone --depth 1 https://github.com/yuri-semenenko/ai-engineering-workspaceWrote 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/yuri-semenenko/ai-engineering-workspace/pr-recheck)<a href="https://agentmods.dev/skills/yuri-semenenko/ai-engineering-workspace/pr-recheck"><img src="https://agentmods.dev/badge/skills/yuri-semenenko/ai-engineering-workspace/pr-recheck/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/yuri-semenenko/ai-engineering-workspace/pr-recheck"><img src="https://agentmods.dev/badge/skills/yuri-semenenko/ai-engineering-workspace/pr-recheck.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 | $0.00109 | $0.01068 |
| Opus 5 | $0.00055 | $0.00534 |
| Sonnet 5 | $0.00022 | $0.00214 |
| Haiku 4.5 | $0.00011 | $0.00107 |
Grade A, and why
pr-recheck scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR recheck
Follow-up pass on a PR that has already been reviewed once. Assumes a prior round of inline comments exists and the author has pushed fixes since.
Preconditions
Same as pr-classify: run gh auth status; require a PR number/URL or a checked-out
branch with an open PR; verify open state via gh pr view <id> --json state,mergedAt.
If merged or closed, surface that and stop.
Steps
- Load prior threads. Fetch open review threads via GraphQL — REST does not
expose thread resolution state:
Keep only threads withgh api graphql -f query='query($owner:String!,$repo:String!,$num:Int!){ repository(owner:$owner,name:$repo){ pullRequest(number:$num){ reviewThreads(first:100){ nodes{ id isResolved comments(first:20){ nodes{ path line body author{login} } } } } } } }' \ -f owner=OWNER -f repo=REPO -F num=NisResolved: false. - Load new work. Diff and commits since the previous review (
gh pr diff <id>plus the commit log). Read the new code fully, cross-referencing touched files. - Build the verification matrix. For each open thread, classify one of:
addressed/partial/not addressed/wont-fix (author replied), each with the file:line and the commit that addresses it. Output as a table. - Scan for new findings. Re-reading the changed code may surface fresh issues. Classify them Critical / Important / Optional per pr-classify rules — the anti-nitpick gate applies (drop Optional whose cost of ignoring is "none").
Delegation
Delegate the gather, keep the verification judgment. Hand steps 1-2 (load the open threads, load the new work and read the changed code) to cheaper-tier subagents, each returning compact evidence: the unresolved threads, and what changed since the last review with file:line. Keep on the main model the addressed / partial / not-addressed matrix (step 3), the new-findings classification (step 4), and the decision gate below. Resolving threads, posting comments, and approving are gated actions — never delegated to a subagent.
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.
- 9d ago First seen · 79 lines · 109 tokens per session scan A 33ef270c7923
pr-recheck is a skill published in the GitHub repository yuri-semenenko/ai-engineering-workspace (1 stars, last pushed 8d ago), licensed MIT. It adds 109 tokens to every session and 1,068 once invoked, about $0.0005 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 2026-08-31.
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