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 biw/skills --skill review-fix-address-botsgit clone --depth 1 https://github.com/biw/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/biw/skills/review-fix-address-bots)<a href="https://agentmods.dev/skills/biw/skills/review-fix-address-bots"><img src="https://agentmods.dev/badge/skills/biw/skills/review-fix-address-bots/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/biw/skills/review-fix-address-bots"><img src="https://agentmods.dev/badge/skills/biw/skills/review-fix-address-bots.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
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 | $0.00040 | $0.03226 |
| Opus 5 | $0.00020 | $0.01613 |
| Sonnet 5 | $0.00008 | $0.00645 |
| Haiku 4.5 | $0.00004 | $0.00323 |
Grade A, and why
review-fix-address-bots 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 10d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review, Fix, and Address Bots
Execute these phases in order. The primary agent alone owns judgment, edits, commands that mutate the workspace, validation, Git, PR changes, and bot replies.
Invariants
- Reviewers are advisory and strictly read-only. They may inspect files, diffs, history, tests, and existing output, but must not modify files or Git/PR state; run tests, builds, package scripts, generators, or arbitrary repository commands; or delegate implementation.
- Include this boundary in every reviewer prompt: “Operate in read-only mode. You are advisory only. Never modify the workspace or Git/PR state, and never commit or push. Return findings and critique to the primary agent, who makes the final decision.”
- Preserve unrelated user changes. Never use reset, automatic stashing, broad staging, history rewriting, or checkpoint commits to clear a dirty tree.
- Logging is observational. If it fails, report the failure and continue the safe workflow; never change code, judgment, Git/PR state, or loop limits for telemetry.
- Treat
scripts/review-run-log.mjsas an opaque executable. Never read its source during this workflow. Invoke its documented commands and usetemplates,--help, and the Markdown references; inspect or change its source only when the user explicitly asks to debug or modify the helper.
1. Prepare the integrated target
- Read repository instructions and applicable implementation skills. Record branch, status, target, remotes, upstream, PR state, and the initial dirty-state ownership boundary. Require a named non-target branch before pushing; never rename it or push the default branch without explicit authorization.
- Use the user's review prompt. If a requested custom prompt is unavailable, stop for it. Only when none was requested, read references/review-guidelines.md.
- Resolve this skill's directory and run
node <skill-dir>/scripts/review-run-log.mjs templatesfor canonical payloads, thenstartwith the resolved cohort and limits before review work. Keep itslogPathin.context; append material transitions and every reviewer invocation. Read references/run-logging.md only if the helper rejects a record, logging needs extension, or telemetry behavior must be diagnosed. - Inspect committed, staged, unstaged, and relevant untracked changes together. Prefer Conductor's workspace diff; otherwise inspect the merge-base-to-HEAD diff,
git diff HEAD,git status --short, and relevant untracked files. Exclude unrelated user work from the implementation. - Resolve the PR's actual base branch and repository remote; without a PR use repository configuration. Fetch that base explicitly, record its ref and SHA, and do not use
git pull. If the fetched SHA is not an ancestor ofHEAD, integrate it before formal review with an explicit merge by default. Rebase only when required or requested, and never rewrite published history without authorization. - Do not let pre-existing staged changes enter a merge commit. If dirty work makes integration unsafe, stop. Resolve conflicts from both branches' intent, surrounding code, and tests; request input for material product, UX, public API, or architecture choices. The integrated tree, conflict resolutions included, is the review target. If integration happens after review starts, invalidate every report and rerun the cohort.
- Before the first push, resolve authority to create a PR if none exists and the bot phase requires one. Stop before the remote mutation when authority is absent.
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.
- 10d ago First seen · 129 lines · 40 tokens per session scan A fe25987c9126
review-fix-address-bots is a skill published in the GitHub repository biw/skills (2 stars, last pushed 17d ago), licensed MIT. It adds 40 tokens to every session and 3,226 once invoked, about $0.0002 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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