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 JNZader/repoforge --skill skill-recipesgit clone --depth 1 https://github.com/JNZader/repoforgeWrote 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/jnzader/repoforge/skill-recipes)<a href="https://agentmods.dev/skills/jnzader/repoforge/skill-recipes"><img src="https://agentmods.dev/badge/skills/jnzader/repoforge/skill-recipes/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/jnzader/repoforge/skill-recipes"><img src="https://agentmods.dev/badge/skills/jnzader/repoforge/skill-recipes.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 | $0.00053 | $0.00461 |
| Opus 5 | $0.00026 | $0.00230 |
| Sonnet 5 | $0.00011 | $0.00092 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
skill-recipes 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 10d 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.
What it actually says
Purpose
Define a pattern where skills are self-installing: an INSTALL.md contains executable setup instructions that an agent follows to configure dependencies, MCP servers, or config.
Recipe Format
own/skills/my-skill/
SKILL.md <- the skill itself
INSTALL.md <- optional setup recipe
INSTALL.md Structure
# Install: {skill-name}
## Prerequisites
- [ ] Node.js >= 20
## Steps
### 1. Install dependencies
\`\`\`bash
pnpm add -D playwright
\`\`\`
### 2. Verify
\`\`\`bash
npx playwright --version
\`\`\`
## Uninstall
\`\`\`bash
pnpm remove playwright
\`\`\`
Agent Execution Protocol
- Read INSTALL.md completely before executing
- Check Prerequisites — verify each is met, stop if not
- Execute Steps sequentially (Bash for commands, Write for files)
- Run Verify step to confirm success
- Report results
Safety Rules
- NEVER modify files outside project directory without confirmation
- NEVER install global packages without confirmation
- If a step fails, STOP — do not continue
- Show commands to user BEFORE executing
Critical Rules
- INSTALL.md is OPTIONAL — skills work without it
- Recipes MUST be idempotent — running twice must not break anything
- Every recipe MUST have a Verify step
- Recipes MUST NOT contain secrets or API keys
- Agents MUST show what will execute before running
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.
- 10d ago First seen · 81 lines · 53 tokens per session scan A 83e167ca08ec
skill-recipes is a skill published in the GitHub repository JNZader/repoforge (5 stars, last pushed 15d ago), licensed MIT. It adds 53 tokens to every session and 461 once invoked, about $0.0003 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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