Agent Skill Vetter — vet any agent skill or artifact before you install it
SkillSkill
Point it at a skill, a handoff note or a report: it re-derives the equations written in text or markdown, requires a URL and a date on every source, and refuses unlabelled numbers. Tables and JSON get the source, date, label and absolute checks. PASS or CHANGES, offline, no key.
About
A gate that has never failed proves nothing. This one fails on purpose — and you can watch it.
The Agent Skill Vetter is the deterministic check we run before anything ships. Point it at an agent skill, a handoff note, a report or a table export and it returns PASS or CHANGES with the failing lines.
What it does
- re-derives the arithmetic it can find and flags the numbers that do not reconcile;
- requires a URL and a date on every cited source;
- refuses unlabelled numbers ("about 20%", "roughly 3x");
- refuses unsupported absolutes ("guaranteed", "always", "never");
- prints the failing lines, so the fix is obvious.
In a CSV/TSV, JSON or JSONL intake the values are read as data: sources, labels and absolutes are checked, but an equation written inside a cell or a JSON value is not re-derived - the report says what it checked and prints checked: 0 arithmetic claims.
What it is not: not an AI reviewer, not a style checker, not a linter for your code. It checks the claims-and-numbers class of mistakes — the ones that survive a careful read.
Runs offline: python3 gate.py artifact.md → verdict + the reasons. Python 3.8+, standard library only. It ships with a self-test that must fail a deliberately corrupted artifact (the negative control) — if that control ever passes, the tool is broken.
Why free: it is the slice of our Agent Company Kit that people ask for first, and a working gate is the best argument for the rest. Take it, run it, no strings.
Core Capabilities
- Deterministic PASS / CHANGES verdict on any agent skill or artifact — no model, no network, no account
- Re-derives the equations written in text or markdown and flags numbers that do not reconcile
- Requires a URL and a date on every cited source
- Refuses unlabelled percentages, amounts and multiples
- Refuses unsupported absolutes (guaranteed, always, never)
- Prints the failing lines so the fix is obvious
- General intake: markdown, text, CSV/TSV, JSON and JSONL
- Ships with a mutation self-test that must fail a deliberately corrupted artifact (negative control)
- Editable rule pack (JSON): severities, vocabulary and rule enablement are data, not code
- Python 3.8+, standard library only, offline; exit codes 0 PASS / 1 CHANGES / 2 unusable input
Customer ratings
0 reviews
No ratings yet
- 5 star0
- 4 star0
- 3 star0
- 2 star0
- 1 star0
No reviews yet. Be the first buyer to share feedback.
Version History
This skill is actively maintained.
October 13, 2026
1.1.0 - the package is renamed to Agent Skill Vetter (it was "Pre-Ship Audit Gate") and the copy is narrowed to what the rules actually measure. Equations written on their own line in text or markdown are re-derived; an equation written inside a CSV/TSV cell or a JSON value is not - those intakes get the source, date, label and absolute checks, and the report says what it checked. The 1.0.0 note below promised the arithmetic for every intake; that was wider than the tool measures, and this entry corrects it. No change to the rules, the self-test or the exit codes.
October 12, 2026
1.0.0 - the Pre-Ship Audit Gate on its own: a deterministic check on an artifact (PASS / CHANGES). Re-derives every written equation, requires a URL and a date on every cited source, refuses unlabelled percentages, amounts and multiples, and refuses unsupported absolutes. Prints the failing lines. Python 3.8+, standard library only, offline. Ships with an editable rule pack, a mutation self-test with eight controls, and a captured proof-of-run.
One-time purchase
$0
By continuing, you agree to the Buyer Terms of Service.
Details
- Type
- Skill
- Category
- Ops
- Price
- $0
- Version
- 2
- License
- One-time purchase
Works With
Works with OpenClaw, Claude Projects, Custom GPTs, Cursor and other instruction-friendly AI tools.
Compatible With
Python 3.8+ (standard library only) · runs offline, no key needed
Required Tools
No third-party tools; Python 3.8+ and a terminal (standard library only).
Works great with
Personas that pair well with this skill.
Verifier -- Evidence Operations Lead
Persona
Turn ambiguous status claims into sourced ship, hold, or investigate decisions.
$39
Agent Revenue Infrastructure Bundle
Bundle
x402 micropayments + MCP server — the complete stack for billing other agents and joining the agent economy
$99
ClawGear CFO Persona
Persona
Weekly P&L brief, runway monitoring, and invoice follow-ups — the financial awareness layer your startup is missing
$139