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 commands/ackeskin/contexture/pr-reviewgit clone --depth 1 https://github.com/AcKeskin/contextureWrote 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/commands/ackeskin/contexture/pr-review)<a href="https://agentmods.dev/commands/ackeskin/contexture/pr-review"><img src="https://agentmods.dev/badge/commands/ackeskin/contexture/pr-review.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.00322 |
| Opus 5 | $0.00019 | $0.00161 |
| Sonnet 5 | $0.00008 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
pr-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 3d 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.
What it actually says
Run the pr-review skill.
Forms:
/pr-review— auto-detect PR from the current branch./pr-review <number>— review a specific PR by number./pr-review <number> <path...>— review only the given paths within the PR.
Examples:
/pr-review— review the PR associated with the current branch./pr-review 123— review PR #123./pr-review 123 src/auth/— review only auth-related changes in PR #123./pr-review 456 src/api/ src/services/— review api and services changes in PR #456.
The skill fetches PR data via gh pr view and gh pr diff, asks whether to load architectural rules via skills/discover/SKILL.md and whether the user has specific guidelines or context, then scans the diff across four categories: code correctness & bugs, design & patterns, PR hygiene, and security. Findings are grouped by file with severity and concrete suggestions, followed by a summary table and an actionable review checklist. Output is local only — no comments are posted to GitHub.
Does not auto-fire. Not a replacement for /review (which audits local code for architectural drift).
See ~/.claude/skills/pr-review/SKILL.md for the full procedure.
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.
- 3d ago First seen · 25 lines · 39 tokens per session scan A 3588bc5d5e70
pr-review is a command published in the GitHub repository AcKeskin/contexture (2 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 322 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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