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 majiayu000/claude-skill-registry --skill agent-development-git-fg-meta-plugin-managergit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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/majiayu000/claude-skill-registry/agent-development-git-fg-meta-plugin-manager)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-development-git-fg-meta-plugin-manager"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-development-git-fg-meta-plugin-manager/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/majiayu000/claude-skill-registry/agent-development-git-fg-meta-plugin-manager"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-development-git-fg-meta-plugin-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.02350 |
| Opus 5 | $0.00018 | $0.01175 |
| Sonnet 5 | $0.00007 | $0.00470 |
| Haiku 4.5 | $0.00004 | $0.00235 |
Grade B, and why
agent-development scanned grade B with 1 finding 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 9d 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.
Recursive force deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
| Limit destructive tools | Allow rm, rm -rf without hooks | Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<mission_control> Create and audit agents that follow toolkit standards: proper configuration, tool constraints, and task scope <success_criteria>Agent has valid frontmatter, appropriate allowed-tools, and clear task scope</success_criteria> </mission_control>
Quick Start
If you need to create an agent: Create .claude/agents/name/ with agent.md.
If you need to audit an agent: Invoke this skill directly to validate configuration.
If you need to refine an agent: Compare against patterns and apply fixes.
Navigation
| If you need... | Read this section... |
|---|---|
| Directory structure | ## PATTERN: Directory |
| Frontmatter format | ## PATTERN: Frontmatter |
| allowed-tools | ## PATTERN: Allowed Tools |
| Perfect agent examples | ## PATTERN: Perfect Agent |
| Common failures | ## ANTI-PATTERN: Common Failures |
| Validation checklist | ## Validation Checklist |
Philosophy
Agents are specialized workers with isolated context. Unlike skills (portable knowledge), agents are configured workers with specific tool access and task scope.
Key insight: Agents are "configured workers" - they have specific capabilities defined by their configuration, unlike skills which encode knowledge.
Why this matters:
- Agents have isolated context (Task tool spawns subagent)
- Agents can have tool restrictions (allowed-tools)
- Agents are task-specific workers, not general knowledge
- Agent behavior is defined by frontmatter, not SKILL.md
PATTERN: Directory
Agents use a simple directory structure:
.claude/agents/agent-name/
└── agent.md
Directory Structure
| Item | Purpose |
|---|---|
agent.md |
Agent configuration with frontmatter |
No references/ |
Agents are self-configuring |
Example Structure
.claude/agents/
├── planning-agent/
│ └── agent.md
├── code-review-agent/
│ └── agent.md
└── testing-agent/
└── agent.md
PATTERN: Frontmatter
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 408 lines · 36 tokens per session scan B df4f1e7f010a
agent-development is a skill published in the GitHub repository majiayu000/claude-skill-registry (606 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 2,350 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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