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 runtime-surface-drift-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/runtime-surface-drift-review)<a href="https://agentmods.dev/skills/alonf/specrew/runtime-surface-drift-review"><img src="https://agentmods.dev/badge/skills/alonf/specrew/runtime-surface-drift-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/alonf/specrew/runtime-surface-drift-review"><img src="https://agentmods.dev/badge/skills/alonf/specrew/runtime-surface-drift-review.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.00367 |
| Opus 5.5 | $0.00010 | $0.00147 |
| Sonnet 5.5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
runtime-surface-drift-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 1mo 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 skill when a runtime-facing change affects what gets deployed or registered downstream. These changes often leave one corrected source file and one stale sibling README behind.
Patterns
- Review the live deploy script first to determine actual shipped behavior.
- Reconcile that behavior against the contract and the nearest README files, not just the top-level docs.
- Treat directory-level READMEs as part of the runtime surface when they describe what is appended, copied, or registered downstream.
- Reject PASS when documentation still describes a runtime surface that the script no longer ships.
Examples
deploy-squad-runtime.ps1appends onlyplanning.mdandreview-demo.md, so any README that still listsSpecrew: Retrospectiveas appended is a real drift defect.- If
iteration-resume.mdstays source-only, both the contract and skills README must describe it as deferred rather than deployed.
Anti-Patterns
- Trusting earlier decision notes over the current files on disk.
- Reviewing only the contract and missing the directory-level README that operators will actually read.
- Calling drift resolved when runtime behavior and documentation still disagree.
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.
- 1mo ago First seen · 37 lines · 26 tokens per session scan A c050ec5a9480
runtime-surface-drift-review is a skill published in the GitHub repository alonf/specrew (55 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 367 once invoked, about $0.0001 per session on Opus 5.5. 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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