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 jakyeamos/tmcp --skill tmcp-skill-gap-analysisgit clone --depth 1 https://github.com/jakyeamos/tmcpWrote 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/jakyeamos/tmcp/tmcp-skill-gap-analysis)<a href="https://agentmods.dev/skills/jakyeamos/tmcp/tmcp-skill-gap-analysis"><img src="https://agentmods.dev/badge/skills/jakyeamos/tmcp/tmcp-skill-gap-analysis/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/jakyeamos/tmcp/tmcp-skill-gap-analysis"><img src="https://agentmods.dev/badge/skills/jakyeamos/tmcp/tmcp-skill-gap-analysis.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 | $0.00032 | $0.00255 |
| Opus 5 | $0.00016 | $0.00128 |
| Sonnet 5 | $0.00006 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
tmcp-skill-gap-analysis 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.
What it actually says
TMCP Skill Gap Analysis
Status: experimental. This workflow remains shipped and callable, but its public contract may change.
Use this skill when the user asks what their skill corpus is missing, where process docs are weak, which workflows lack evidence, or how to improve agent/team operating instructions.
This is a harvest-first diagnostic, not an implementation workflow.
Workflow
- Run
tmcp_harvest_skillsover the source set. - Run
tmcp_recommend_workflowsand inspect weak/not-recommended signals. - Compare strong/weak signals against intended workflows.
- Recommend missing docs, skills, routing rules, or validation artifacts.
- Run
expert_rubric_review_planonly after the user selects a specific gap or workflow for scored remediation.
Output Contract
Produce or cite:
- Harvested source map.
- Strong, secondary, weak, and absent workflow signals.
- Missing process documentation.
- Recommended skill/router additions.
- Verification or quality-gate gaps.
- Prioritized next documentation improvements.
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 · 33 lines · 32 tokens per session scan A e3685ef3b63c
tmcp-skill-gap-analysis is a skill published in the GitHub repository jakyeamos/tmcp (0 stars, last pushed 15d ago), licensed MIT. It adds 32 tokens to every session and 255 once invoked, about $0.0002 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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