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 robcsaszar/ai-forge --skill ai-forge-recapgit clone --depth 1 https://github.com/robcsaszar/ai-forgeWrote 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/robcsaszar/ai-forge/ai-forge-recap)<a href="https://agentmods.dev/skills/robcsaszar/ai-forge/ai-forge-recap"><img src="https://agentmods.dev/badge/skills/robcsaszar/ai-forge/ai-forge-recap.svg" alt="Measured on agentmods" 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 | $0.00085 | $0.01450 |
| Opus 5 | $0.00043 | $0.00725 |
| Sonnet 5 | $0.00017 | $0.00290 |
| Haiku 4.5 | $0.00009 | $0.00145 |
Grade A, and why
ai-forge-recap 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 7d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Forge Recap
Audit a skill or agent by reading its actual implementation and reporting what it really does — independent of what the description claims. The description is a claim; the body is the ground truth.
What to Read
Use the path provided or resolved by the environment. If not found, report "Not found" and stop.
For skills: also read any references/ files marked MANDATORY READ — behaviors that live outside the main body still count.
If a references/ directory exists but no files are marked MANDATORY READ, include this note in Undeclared behaviors: "references/ directory present but no MANDATORY READ triggers — possible Orphan References pattern."
For agents: read the full .agent.md file including frontmatter (model, tools, etc.).
For other file types (.instructions.md, CLAUDE.md, standalone prompts): read the full file; if the file has a leading comment or description block, treat it as the "description claim" to compare against the body.
What to Compare
The description makes four implicit claims. Check each against the body:
- WHAT it does — does the body do this, or something adjacent?
- WHEN to use it — do trigger phrases match actual entry conditions?
- Keywords — do searchable terms reflect what the body covers?
- Scope — does the description under- or over-state coverage?
Also scan for undeclared behaviors: things the body does that the description never mentions. Focus on locations where iterative edits silently accumulate new behavior: NEVER rules, phases/steps, skip/exit conditions, reference-loading triggers, confirmation loops, conditional output sections, and tool/skill invocations.
Short targets (<15 lines body): Focus on scope accuracy over exhaustive four-claim comparison. A minimal body with a matching description is Aligned — don't manufacture drift from brevity.
Before writing your verdict, ask: Would an agent picking from descriptions alone make the right call? If the description would misroute, that's Significant drift regardless of how small the wording gap appears.
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.
- 7d ago First seen · 143 lines · 85 tokens per session scan A 4ae97de40c22
ai-forge-recap is a skill published in the GitHub repository robcsaszar/ai-forge (0 stars, last pushed 4d ago), licensed MIT. It adds 85 tokens to every session and 1,450 once invoked, about $0.0004 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.
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