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 petar-djukic/writing-skills --skill cold-reviewgit clone --depth 1 https://github.com/petar-djukic/writing-skillsWrote 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/petar-djukic/writing-skills/cold-review)<a href="https://agentmods.dev/skills/petar-djukic/writing-skills/cold-review"><img src="https://agentmods.dev/badge/skills/petar-djukic/writing-skills/cold-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/petar-djukic/writing-skills/cold-review"><img src="https://agentmods.dev/badge/skills/petar-djukic/writing-skills/cold-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 | $0.00000 | $0.00870 |
| Opus 5 | $0.00000 | $0.00435 |
| Sonnet 5 | $0.00000 | $0.00174 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
cold-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 7d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: cold-review description: >- Fresh-context entailment check with a fixed contract: a reviewer that never saw the drafting conversation reads baseline + candidate, paragraph-aligned, hunting inverted claims, numbers reattached to wrong claims, altered quotations, and hedges that change assertions; verdicts limited to ship as-is / ship with listed verbatim-reverts / reject. Every accepted fix is a revert to the baseline span — no authored prose. Ships a mechanical drift screen and a revert applier with invariant re-checks. Triggers: cold review, cold read the candidate, entailment check, fresh-context review, did the rewrite change the meaning, revert list. argument-hint: 'screen|apply --baseline <b.md> --candidate <c.md>'
Cold Review (fresh-context entailment, reverts only)
Every generative stage measured against a cold read lost most of its raw gain there, and the two 2026-09-01 runs that fixed this contract caught real damage both times: swapped 0.768/0.867 arm numbers, an inverted improvement direction, a lost constitution bridge sentence — and, on the second run, confirmed ship-as-is with zero reverts, which is also a result. The prompt was re-improvised per run; now it is versioned.
The contract
- Fresh context, maker is not checker. The reviewer sees only the baseline, the candidate, the caller's named high-value targets, the constitution's [CHECK] items when the form has one, and the mechanical screen's findings. Never the rewrite history, reasoning, or diffs.
- Meaning entailment, paragraph by paragraph: inverted claims, numbers reattached to wrong claims, altered quotations (including reattributed judgment), hedges that change assertions, [CHECK] items no longer satisfied.
- Closed verdict vocabulary:
ship as-is|ship with reverts: p<N>: <damage>|reject candidate: <why>. The reviewer never proposes prose. - The repair rule: every accepted fix is a verbatim revert to the baseline span — kept-original at paragraph level, no authored prose. Damage that reverts cannot save (structural) rejects the candidate.
What ships with it
3 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.
- 7d ago First seen · 77 lines · 0 tokens per session scan A 137f88bd5c5f
cold-review is a skill published in the GitHub repository petar-djukic/writing-skills (4 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 870 tokens. 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 2026-09-05.
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