skillfire AGENTS.md

A zero-configuration command-line tool that tests an AI agent skill by creating tests from its SKILL.md file and checking whether the skill is triggered and improves results.

In plain words
What is it for?
Use it to evaluate SKILL.md files, report test results, and follow the repository's issue, triage, and domain-documentation rules.
Why use it?
It helps reveal whether a skill's instructions actually work instead of relying only on manual inspection.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/kainulla/skillfire/agents-md
Clone the repo
git clone --depth 1 https://github.com/kainulla/skillfire

Made for: Codex, OpenCode.

Per session 159 This file is loaded in full into every session.
When invoked 159 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00159 $0.00159
Opus 5 $0.00079 $0.00079
Sonnet 5 $0.00032 $0.00032
Haiku 4.5 $0.00016 $0.00016

Measured 2d ago against content hash 7259893230f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skillfire AGENTS.md 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 2d 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.

AGENTS.md · 18 lines

What it actually says

skillfire

A zero-config CLI that tests an AI agent Skill (SKILL.md) by deriving its own test suite from the file itself, then reporting whether the skill actually triggers and improves output.

Agent skills

Issue tracker

Issues are tracked as GitHub issues via the gh CLI (repo auto-detected from the remote). See docs/agents/issue-tracker.md.

Triage labels

Canonical labels: needs-triage, needs-info, ready-for-agent, ready-for-human, wontfix. See docs/agents/triage-labels.md.

Domain docs

Single-context: CONTEXT.md + docs/adr/ at the repo root. See docs/agents/domain.md.

Changes

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.

  1. 2d ago First seen · 18 lines · 159 tokens per session scan A 7259893230f1

Subscribe to this mod's changes

skillfire AGENTS.md is an instructions file published in the GitHub repository kainulla/skillfire (8 stars, last pushed 2mo ago), licensed MIT. It adds 159 tokens to every session, about $0.0008 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 2026-08-31.