Borrowing it
Nothing to install: this file belongs to Megaprompting/torque-loop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Megaprompting/torque-loop/main/.claude/skills/preflight/SKILL.mdgit clone --depth 1 https://github.com/Megaprompting/torque-loopWrote 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/megaprompting/torque-loop/preflight)<a href="https://agentmods.dev/skills/megaprompting/torque-loop/preflight"><img src="https://agentmods.dev/badge/skills/megaprompting/torque-loop/preflight/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/megaprompting/torque-loop/preflight"><img src="https://agentmods.dev/badge/skills/megaprompting/torque-loop/preflight.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 | $0.00093 | $0.01220 |
| Opus 5.5 | $0.00037 | $0.00488 |
| Sonnet 5.5 | $0.00019 | $0.00244 |
| Haiku 4.5 | $0.00009 | $0.00122 |
Grade A, and why
preflight 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/preflight — embarrass the branch before the reviewer does
v0.7 shipped, got reviewed, and needed a same-day PATCH-THEN-KEEP hardening pass
(fog write bypassed on --json, probe invariants convention-only, gated reasons
unenforced). Every one was findable before the PR. This skill is that finding pass.
The mechanizable checks live in a script, not in prose — a discipline a model has to
remember to run is weak. scripts/preflight.js owns the deterministic verdicts; this
skill runs it, then does the judgment the script deliberately leaves open.
Step 1 — Run the mechanical pass
npm run preflight # or: node scripts/preflight.js [base-ref] (default base: main)
It prints all 12 checks in a fixed shape and exits non-zero if any MECHANICAL check fails. Trust its verdict on these five — they need no judgment:
- 1 green world —
npm test+ratchet doctorboth exit 0. - 4 version alignment — five version fields + README examples all match.
- 7 dependency gate — no new
dependencies/devDependencies(or a Danny quote in[Unreleased]). - 9 leak scan — no private paths (
reference/PROBLEM-STATEMENT-*,*.private.md,.lucid/,.ratchet/,.sandbox-*) and no exact private-line quotes in the diff. - 10 trace tags — changed durable docs (
CLAUDE.md,reference/*, handoffs) carry aTraced by:tag; commits carry aCo-authored-byfooter.templates/is exempt.
A MECHANICAL FAIL is real; fix it before anything else. The script's SMALLEST PATCHES
block names each fix.
Step 2 — Rule on the checks the script only gathers evidence for
The script prints these as HUMAN: lines with the candidates it found. You make the call —
it cannot. Read the gathered evidence, then decide PASS/FAIL for each:
- 2 testless change (weak signal — distrust a clean line). The script's token-grep is
noisy: common identifiers match half the suite, so "has test hits" is near-meaningless.
For every
src/|bin/hunk, name the specific test that fails without it. No name → FAIL. - 3 weakened falsifier. The script flags removed asserts / newly-loose lines in
test/. Decide whether any assertion was genuinely loosened without a commit-body reason. If so → FAIL. - 5 prose enforcement. The script lists new
must/never/requireslines in SKILL.md/README. For each, point at the CLI line that enforces it + the test proving the refusal throws, OR confirm the CHANGELOG labels it prompt-level. Unlabeled invariant → FAIL. - 6 diff minimality. The script catches renames + whitespace-only files (the cheap
cases) and is blind to elegance-churn (the expensive one). Map every remaining hunk to the
locked target yourself. Any hunk that doesn't map → FAIL:
revert this hunk. - 8 parked-decision creep. The script lists parked loop ids and any the diff mentions. Decide whether a hunk actually implements a parked loop (a mention alone is fine). If so → FAIL.
- 11 scope + emptiness (weak signal). For any new score/read the script surfaced,
confirm it exposes a
scope:field and that new rendered sections state emptiness. - 12 changelog. The script shows whether
[Unreleased]was touched and whether a CLI-enforced/prompt-level label is present. Decide if behavior changed and the entry is adequate.
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 · 83 lines · 93 tokens per session scan A fc5510eaf61e
preflight is a skill published in the GitHub repository Megaprompting/torque-loop (9 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 1,220 once invoked, about $0.0004 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 2026-08-31.
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