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 alonf/specrew --skill iteration-execution-truth-reviewgit clone --depth 1 https://github.com/alonf/specrewWrote 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/alonf/specrew/iteration-execution-truth-review)<a href="https://agentmods.dev/skills/alonf/specrew/iteration-execution-truth-review"><img src="https://agentmods.dev/badge/skills/alonf/specrew/iteration-execution-truth-review.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00513 |
| Opus 5 | $0.00010 | $0.00257 |
| Sonnet 5 | $0.00004 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
iteration-execution-truth-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 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.
What it actually says
Context
Use this when an iteration has already entered executing and some task slice has been implemented or accepted, but the authoritative lifecycle artifacts may still be lagging behind that reality.
Patterns
- Treat
plan.md,state.md, anddrift-log.mdas the authority over execution truth; decision notes only prove that a status change may be required. - If a task slice is accepted, reject artifacts that still leave that task merely
in-progress. - Check
plan.mdfor task status, agent, actual effort, and verdict evidence once work is accepted. - Check
state.mdforLast Completed Task,Tasks Remaining, andIn Progressmovement after accepted work. - Check
drift-log.mdfor stale resolutions such as "deferred to acceptance cycle" after the acceptance already happened. - When an accepted slice closes only part of the iteration, keep the iteration in
executingbut still advance capacity-used math and the last-completed pointer to the accepted task. - A passing governance validator does not by itself clear artifact-truth drift; validator health and lifecycle truth are separate review questions.
Examples
decisions.mdrecordsT-205/T-206as PASS, but Iteration 002 still shows both tasksin-progresswithLast Completed Task: (none). Verdict: NEEDS-WORK on lifecycle artifacts even if governance validation passes.- CI parity is fixed in the workflow, but execution artifacts still lag accepted work. Verdict: accept CI correction, reject iteration-truth correction.
Anti-Patterns
- Treating an
executingstatus flip as sufficient once accepted tasks exist. - Granting PASS because the validator passes while the artifacts still under-report completed work.
- Reopening unrelated implementation code when the defect is confined to lifecycle artifact truth.
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 · 40 lines · 21 tokens per session scan A 8effe99c89fc
iteration-execution-truth-review is a skill published in the GitHub repository alonf/specrew (54 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 513 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 2026-09-03.
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