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 pbakaus/agent-reviews --skill resolve-agent-reviewsgit clone --depth 1 https://github.com/pbakaus/agent-reviewsWrote 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/pbakaus/agent-reviews/resolve-agent-reviews)<a href="https://agentmods.dev/skills/pbakaus/agent-reviews/resolve-agent-reviews"><img src="https://agentmods.dev/badge/skills/pbakaus/agent-reviews/resolve-agent-reviews/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/pbakaus/agent-reviews/resolve-agent-reviews"><img src="https://agentmods.dev/badge/skills/pbakaus/agent-reviews/resolve-agent-reviews.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 8 findings, 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 MCP Rug Pull · line 6 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 17 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 25 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 97 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 101 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 105 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 123 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Output Handling · line 29 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00048 | $0.01889 |
| Opus 5 | $0.00024 | $0.00945 |
| Sonnet 5 | $0.00010 | $0.00378 |
| Haiku 4.5 | $0.00005 | $0.00189 |
Grade A, and why
resolve-agent-reviews 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 today.
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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automatically resolve findings from PR review bots (Copilot, Cursor Bugbot, CodeRabbit, etc.) on the current PR. Uses a two-phase workflow: fix all existing issues, then poll for new ones until bots go quiet.
Prerequisites
All commands below use npx agent-reviews. If the project uses a different package manager, substitute the appropriate runner (e.g., pnpm dlx agent-reviews for pnpm, yarn dlx agent-reviews for Yarn, bunx agent-reviews for Bun). Honor the user's package manager preference throughout.
Cloud environments only (e.g., Codespaces, remote agents): verify git author identity so CI checks can map commits to the user. Run git config --global --get user.email and if empty or a placeholder, set it manually. Skip this check in local environments.
Phase 1: FETCH & FIX (synchronous)
Step 1: Fetch All Bot Comments (Expanded)
Run npx agent-reviews --bots-only --unanswered --expanded
The CLI auto-detects the current branch, finds the associated PR, and authenticates via gh CLI or environment variables. If anything fails (no token, no PR, CLI not installed), it exits with a clear error message.
This shows only unanswered bot comments with full detail: complete comment body (no truncation), diff hunk (code context), and all replies. Each comment shows its ID in brackets (e.g., [12345678]).
If zero comments are returned, print "No unanswered bot comments found" and skip to Phase 2.
Step 3: Process Each Unanswered Comment
For each comment from the expanded output:
A. Evaluate the Finding
Read the referenced code and determine:
- TRUE POSITIVE - A real bug that needs fixing
- FALSE POSITIVE - Not actually a bug (intentional behavior, bot misunderstanding)
- UNCERTAIN - Not sure; ask the user
Likely TRUE POSITIVE:
- Code obviously violates stated behavior
- Missing null checks on potentially undefined values
- Type mismatches or incorrect function signatures
- Logic errors in conditionals
- Missing error handling for documented failure cases
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.
- today Changed · +2 lines 15f1edd9a971
- 11d ago First seen · 182 lines · 48 tokens per session scan A 879216f084b1
resolve-agent-reviews is a skill published in the GitHub repository pbakaus/agent-reviews (268 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 1,889 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 2026-08-30.
Other skills, from other repositories
adversarial-reviewer
Adversarial code review that assumes bugs exist and hunts for them. Use when asked to review code, find bugs, audit for correctness, stress-test a PR, or when someone says "tear this apart" or "what's wrong with this". Give no benefit of the doubt — every line is guilty until proven innocent.
gsd-ns-review
Route to the appropriate quality / review skill based on the user's intent. gsd-code-review-fix was absorbed by gsd-code-review --fix in #2790.
issue
Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…
gitnexus
A code-graph analysis add-on for examining an existing codebase, including symbols, call paths, execution flows, and effects across repositories. It can query GitNexus through its command-line or MCP interfaces.
cleanup-code-inspections
Reduce technical debt and improve code quality by systematically resolving static analysis warnings.
dorodango
Polishes working code through successive quality passes in fresh subagents. Use after tests pass when code needs multi-dimension refinement before release.