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-capability-assessorgit 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-capability-assessor)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-capability-assessor"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-capability-assessor/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-capability-assessor"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-capability-assessor.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 | $0.00057 | $0.01604 |
| Opus 5 | $0.00028 | $0.00802 |
| Sonnet 5 | $0.00011 | $0.00321 |
| Haiku 4.5 | $0.00006 | $0.00160 |
Grade A, and why
agent-capability-assessor 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 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.
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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Capability Assessor Skill
Instructions
- Review the agent file(s) to understand capabilities
- Analyze agent description, skills, and workflow
- Compare agent capabilities to task requirements
- Determine if agent can handle the task effectively
- Identify capability gaps or strengths
- Recommend whether to use existing agent or create new one
- Provide capability assessment report
Assessment Process
Step 1: Read Agent File
- Read the agent's markdown file from
.cursor/agents/ - Understand agent's name, description, and purpose
- Review agent's core principles and workflow
- Note agent's available skills and capabilities
Step 2: Analyze Capabilities
- Extract key capabilities from agent description
- Identify what types of tasks the agent handles
- Note any limitations or constraints
- Understand agent's workflow and process
Step 3: Compare to Task Requirements
- Review task description and requirements
- Identify required capabilities for the task
- Match task requirements to agent capabilities
- Note any gaps or mismatches
Step 4: Make Assessment
- Determine if agent can handle task (Yes/No/Partial)
- Assess quality of match (Excellent/Good/Fair/Poor)
- Identify capability gaps
- Recommend action (Use existing / Create new / Enhance existing)
Capability Assessment Criteria
Excellent Match
- Agent's primary purpose aligns with task
- Agent has all required skills
- Agent's workflow fits task requirements
- No significant gaps
Good Match
- Agent can handle task with minor adjustments
- Agent has most required skills
- Agent's workflow mostly fits
- Minor gaps that can be worked around
Fair Match
- Agent can handle task but not ideal
- Agent has some required skills
- Agent's workflow partially fits
- Some gaps that may impact effectiveness
Poor Match
- Agent is not well-suited for task
- Agent lacks key required skills
- Agent's workflow doesn't fit
- Significant gaps that impact effectiveness
No Match
- Agent cannot handle task
- Agent lacks required capabilities
- Task is outside agent's domain
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 · 264 lines · 57 tokens per session scan A e62ba2906a5b
agent-capability-assessor is a skill published in the GitHub repository majiayu000/claude-skill-registry (606 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 1,604 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 2026-09-03.
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