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.
git clone --depth 1 https://github.com/sheep-programmer/AIForgeWrote 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/commands/sheep-programmer/aiforge/config)<a href="https://agentmods.dev/commands/sheep-programmer/aiforge/config"><img src="https://agentmods.dev/badge/commands/sheep-programmer/aiforge/config/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/commands/sheep-programmer/aiforge/config"><img src="https://agentmods.dev/badge/commands/sheep-programmer/aiforge/config.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 | $0.00008 | $0.00178 |
| Opus 5.5 | $0.00003 | $0.00071 |
| Sonnet 5.5 | $0.00002 | $0.00036 |
| Haiku 4.5 | $0.00001 | $0.00018 |
Grade A, and why
config 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 21 lines · 8 tokens per session scan A 1cd20abc2c65
config is a command published in the GitHub repository sheep-programmer/AIForge (3 stars, last pushed 4mo ago), with no licence file. It adds 8 tokens to every session and 178 once invoked, about $0.0000 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.
Other commands, from other repositories
review
Review code changes against project conventions.
docs
Documentation drift detection and sync via oma-docs. Verify mode finds broken refs in all repo markdown (default glob /.md), sync mode proposes patches for docs affected by a git diff, i18n mode surfaces stale translations, and lint mode checks CJK em-dash style plus wrong-language placeholders across all locales.
architecture
Software architecture workflow that diagnoses architecture problems, selects the right analysis method, compares options, synthesizes stakeholder input, and produces a recommendation, review, or ADR.
convert
Convert a file from one format to another, routed by media category. Documents (PDF/HWP/HWPX/HWPML) extract to Markdown via oma-pdf/oma-hwp; images, video, and audio transcode to a target format via ffmpeg.
explain
Drive a diff/PR/branch or a topic → self-contained interactive HTML explainer via the oma-explanation skill. Resolves the target, writes a draft, renders it with oma explain render, runs secret gates and validation, saves under .agents/results/explain/, and reports TL;DR plus path.
orchestrate
Automated parallel agent execution that spawns CLI subagents via native dispatch or oma agent spawn, coordinates through durable file state, monitors progress, and runs verification.