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 agentmods add skills/hellotern/sextant/review-codenpx skills add hellotern/Sextant --skill review-codegit clone --depth 1 https://github.com/hellotern/SextantWhat 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 | $0.00119 | $0.02538 |
| Opus 5 | $0.00060 | $0.01269 |
| Sonnet 5 | $0.00024 | $0.00508 |
| Haiku 4.5 | $0.00012 | $0.00254 |
Grade A, and why
review-code 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 2d 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
!../principles/SKILL_BODY.md
!../tool-gitnexus/SKILL_BODY.md
Code Review Workflow
Core Principle
The goal of code review is not to find fault, but to discover design flaws, logic vulnerabilities, and architecture risks before code is merged. Review quality depends on the reviewer's depth of understanding of the change context — the deeper the understanding, the more fundamental the issues found.
Before You Start
Operating Mode — Declare Before Starting
Before reading a single line of code, output this declaration as the first line of your response:
Mode: Review-only — reason: <one phrase>
or
Mode: Review+patch — reason: <one phrase>
Mode selection rules:
| Signal | Mode |
|---|---|
| "review this PR/code", user submitted code for evaluation | Review-only |
| "review and fix", "find and fix issues", you wrote the code | Review+patch |
| Ambiguous | Review-only — declare it and ask at the end if fixes are wanted |
Review-only constraints (hard rules, not guidelines):
- Do NOT call any Edit/Write/file-modification tool during this session.
- If you feel compelled to fix something, add it to [Must Fix] with a suggestion instead.
- Exception: user explicitly upgrades to Review+patch mid-session ("go ahead and fix it") — before making any changes, output:
Mode upgrade: Review-only → Review+patchand then proceed.
Review+patch constraints:
- Complete the full review output first. Do not patch silently.
- Apply only Must Fix items after the review block is complete.
- Suggested Improvements and Confirm Items remain output-only — no unilateral patch.
Reviewer Role
- You are a gatekeeper, not a rewriter — point out problems and risks; don't rewrite the author's code (Review-only mode)
- You are a second pair of eyes, not a style police — focus on logic correctness and architecture compliance; leave style to the linter
- You are a collaborator, not a judge — give specific improvement suggestions, not abstract negations
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.
- 2d ago First seen · 245 lines · 119 tokens per session scan A 7e631efcc94e
review-code is a skill published in the GitHub repository hellotern/Sextant (15 stars, last pushed 4mo ago), licensed MIT. It adds 119 tokens to every session and 2,538 once invoked, about $0.0006 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.
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