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 tahirraufkeeyu/software-development-agent-stack--sdas --skill code-reviewgit clone --depth 1 https://github.com/tahirraufkeeyu/software-development-agent-stack--sdasWrote 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/tahirraufkeeyu/software-development-agent-stack--sdas/code-review)<a href="https://agentmods.dev/skills/tahirraufkeeyu/software-development-agent-stack--sdas/code-review"><img src="https://agentmods.dev/badge/skills/tahirraufkeeyu/software-development-agent-stack--sdas/code-review/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/tahirraufkeeyu/software-development-agent-stack--sdas/code-review"><img src="https://agentmods.dev/badge/skills/tahirraufkeeyu/software-development-agent-stack--sdas/code-review.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 | $0.00054 | $0.01705 |
| Opus 5.5 | $0.00022 | $0.00682 |
| Sonnet 5.5 | $0.00011 | $0.00341 |
| Haiku 4.5 | $0.00005 | $0.00170 |
Grade A, and why
code-review 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 1mo 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to use
- User pastes a diff, patch, or PR URL and asks "review this", "is this safe to merge", "look for issues".
- User asks to self-review staged changes before committing (
git diff --staged). - User wants a security- or performance-focused pass on a specific file.
- User mentions N+1, SQL injection, XSS, authorization, race conditions, or unbounded loops.
Do not use this skill for architectural review of a design doc (use api-design or an ADR skill) or for large multi-PR audits (run this skill per PR).
Inputs
- A unified diff, a PR URL (resolved via the GitHub MCP), or a list of files to review.
- Optional: the language/framework (inferred if omitted), the repo's style guide or linter config, and the PR description so intent can be compared against implementation.
Outputs
A Markdown review with three sections:
- Summary: 2-4 sentence assessment plus an overall verdict (
approve,approve-with-nits,request-changes,block). - Findings table: one row per issue with columns
Severity | File:Line | Category | Issue | Suggested fix. - Inline suggestions: for each
highorblockerfinding, a fenced code block showing the exact replacement.
Severity ladder: blocker (must fix, ship-stopping), high (fix before merge), medium (fix soon, track in issue), low (nit, optional), info (observation, no action).
Tool dependencies
- Read, Grep, Glob for local files.
- GitHub MCP (
get_pull_request,get_pull_request_diff,get_pull_request_files) when reviewing a PR by URL. - Optional: language-specific linters (
eslint,ruff,golangci-lint,clippy) — run them if available and cite their output.
Procedure
- Fetch the diff. If given a PR URL, use the GitHub MCP to pull the title, body, and unified diff. If given a branch, run
git diff <base>...HEAD. Always obtain the full diff, not a summary — reviews over summarised diffs miss subtle bugs. - Read the PR description and identify the stated intent. Note any mismatch between intent and the actual changes; call that out in the summary.
- Enumerate touched files and, for each non-trivial file, read at least 50 lines above and below the hunk to understand context. Never review a hunk in isolation.
- Walk the checklist in references/review-checklist.md in order: security, correctness, performance, maintainability, testing, observability. Skipping a category is not acceptable; if a category does not apply, state so explicitly in the summary.
- For each issue, assign a severity from the ladder above and write the finding using this template:
<what is wrong> -> <why it matters> -> <concrete fix>. Always citepath/to/file.ext:Lstart-Lend. - Cross-check every flagged issue against references/common-antipatterns.md to ensure the label is precise (e.g. distinguish feature envy from law-of-demeter violations).
- If the diff touches tests, confirm the tests actually exercise the new behaviour. A passing test that never asserts the new code path is a
highfinding. - If any finding is
blockerorhigh, set the verdict torequest-changesorblock. Never mark a PRapprovewhilehighissues remain. - Emit the review in the output format above. Keep each finding under four lines; push rationale into links to the references.
What ships with it
2 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.
- 1mo ago First seen · 121 lines · 54 tokens per session scan A 4e853324d093
code-review is a skill published in the GitHub repository tahirraufkeeyu/software-development-agent-stack--sdas (19 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 1,705 once invoked, about $0.0002 per session on Opus 5.5. 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.
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