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 patriceckhart/zot --skill code-reviewgit clone --depth 1 https://github.com/patriceckhart/zotWrote 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/patriceckhart/zot/code-review)<a href="https://agentmods.dev/skills/patriceckhart/zot/code-review"><img src="https://agentmods.dev/badge/skills/patriceckhart/zot/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/patriceckhart/zot/code-review"><img src="https://agentmods.dev/badge/skills/patriceckhart/zot/code-review.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 | $0.00015 | $0.00434 |
| Opus 5 | $0.00008 | $0.00217 |
| Sonnet 5 | $0.00003 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00043 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- code-review — 100% identical, 0 lines differ
What it actually says
Code review
When the user asks for a code review (and you have not already done one in this turn), follow this routine.
1. Establish what changed
Use bash to run git status and git diff (or git diff --staged
if there are no unstaged changes). Skim the patch end to end before
analysing any single hunk.
2. For each modified file
Read the file in full with the read tool — never review only the
hunk; you need surrounding context to evaluate the change properly.
Then look for:
- Correctness: bugs, off-by-one errors, wrong sign, missing nil checks, swapped arguments, race conditions.
- Error handling: every external call (file IO, network, parsing, syscalls) — does it propagate or swallow? Are errors wrapped with enough context?
- Tests: do the new code paths have tests? Are existing tests still passing what they claim?
- Surface area: are exports necessary, or could the change stay internal? Public APIs deserve more scrutiny than internals.
- Style consistency: does the change match neighbouring code?
3. Report
Produce a concise written review with this shape:
- Verdict (one line): ship-as-is / minor changes / needs work / blocked.
- Required changes (numbered, if any).
- Suggestions (bullets, optional).
- Praise (one or two lines if anything stood out — keeps the feedback humane).
Don't restate every line of the diff. Don't speculate about future features. Stay grounded in what the patch does.
4. Stop
Do not auto-apply fixes. The user will decide what to act on.
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 · 53 lines · 15 tokens per session scan A 48ec53b0e947
code-review is a skill published in the GitHub repository patriceckhart/zot (335 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 434 once invoked, about $0.0001 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
cw-slice
Use before writing code for any Codewhale feature, upgrade, or refactor: find the existing owner of the behavior, bound the change to one reviewable slice, and fix the evidence bar before you start.
gh-compile-issues
Triage N GitHub issues into a coverage matrix: fetch each, check current code, classify already-done/quick-fix/design/defer with cited evidence.
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
review
Read-only correctness review with actionable findings first, tight file/line evidence, severity, and a concise residual-risk summary.
simplify
Improve clarity and reduce needless complexity after behavior is understood; preserve behavior and keep cleanup separate from correctness fixes.
code-guidelines-go
Go 1.24–1.27 coding guidelines for the dimetron/pi-go AI agent runtime. Use this skill whenever writing, reviewing, or refactoring ANY Go code in pi-go. This covers idiomatic style, error handling, concurrency, project layout, testing (table-driven, fuzz, benchmarks, synctest), new stdlib usage, golangci-lint v2…