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/phase-rs/phase/review-engine-plannpx skills add phase-rs/phase --skill review-engine-plangit clone --depth 1 https://github.com/phase-rs/phaseWrote 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/phase-rs/phase/review-engine-plan)<a href="https://agentmods.dev/skills/phase-rs/phase/review-engine-plan"><img src="https://agentmods.dev/badge/skills/phase-rs/phase/review-engine-plan.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 | $0.00069 | $0.02922 |
| Opus 5 | $0.00034 | $0.01461 |
| Sonnet 5 | $0.00014 | $0.00584 |
| Haiku 4.5 | $0.00007 | $0.00292 |
Grade A, and why
review-engine-plan 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 4d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Engine Plan
Review the plan as an architectural gate. Reject the plan if any required dimension is missing, superficial, or contradicted by code evidence.
Probe policy — you MAY and SHOULD run code
You are not a read-only reviewer. Building and running throwaway probes is an expected part of this review, and it is the only instrument that can refute a plan whose prose is internally consistent but whose runtime behaviour differs. Static review structurally cannot catch a predicate that reads correctly and answers wrongly on a real board.
Use an isolated CARGO_TARGET_DIR and the worktree's absolute path; never build in a checkout another
process (e.g. Tilt) owns; serialize probe activity behind any active implementation executor. That
isolation is why no brief needs to withhold builds from you — if one says "do not run cargo", use your
own target dir and note it in your report.
Required Checks
- Probe the plan, don't just read it
- The plan's central premise is yours to test, not merely to assess. Probe it against a real committed fixture or dump where one exists — synthetic state proves a predicate reads a field, a real board proves what it answers in production. A premise that only ever held on synthetic input is the highest-value refutation available to you.
- The assertions worth probing are the ones whose falsity would change the design: a predicate's runtime verdict, which route or branch is actually taken, an observed count or delta, "X never happens", "this conjunct is what refuses". Where the plan asserts one of these from reading alone and you doubt it, go measure it — the finding is the wrong assertion, never the missing paperwork.
- Believe a probe only if it reached the code under test — the plan's or your own. A zero with no positive control showing the instrument fires is not a negative result, and a run that didn't exit cleanly didn't measure anything. This is Check 9's paired positive reach-guard applied to the plan's evidence rather than to its tests; the two recurring shapes are a census that reports zero because the instrument never fired, and a discriminator whose verdict is really decided by an upstream conjunct that dominates it.
- Verify every board-census premise against a hostile fixture. The shape that survives static review is a census predicate that ignores an applicability/filter field and so matches objects with nothing to do with the phenomenon. Run the census on a real fixture that contains irrelevant objects and confirm the predicate actually consults the applicability field. A census matching "almost everything" is a defect signature, not a result: reject the premise until that field check is shown. A plausible positive result on friendly input does not discharge this.
- A falsified snapshot claim is repaired by reformulation, not refresh. When an edit falsifies a recorded count, coordinate, or cardinality ("four sites", "two red flags", a per-section tally), say so and require the durable form — a symbol name, "every X in §Y", or the command that regenerates the figure. Asking only for a corrected number re-arms the same defect for the next edit, which is how one stale claim becomes a multi-round loop.
What ships with it
1 file 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.
- 4d ago First seen · 150 lines · 69 tokens per session scan A aa92384e6a1a
review-engine-plan is a skill published in the GitHub repository phase-rs/phase (268 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 2,922 once invoked, about $0.0003 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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