Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jakyeamos/tmcpnpx agentmods add skills/jakyeamos/tmcp/tmcp-performance-readinessWrote 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-performance-readiness)<a href="https://agentmods.dev/skills/jakyeamos/tmcp/tmcp-performance-readiness"><img src="https://agentmods.dev/badge/skills/jakyeamos/tmcp/tmcp-performance-readiness/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-performance-readiness"><img src="https://agentmods.dev/badge/skills/jakyeamos/tmcp/tmcp-performance-readiness.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 | $0.00033 | $0.00290 |
| Opus 5 | $0.00016 | $0.00145 |
| Sonnet 5 | $0.00007 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
tmcp-performance-readiness 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 Performance Readiness
Status: experimental. This workflow remains shipped and callable, but its public contract may change.
Use this skill when the user asks for a performance audit, scaling readiness review, latency risk review, profiling plan, bundle/runtime review, load-test plan, or optimization-readiness packet.
Use systematic debugging first if there is an active, unexplained performance bug that needs reproduction.
Workflow
- Gather evidence: hot paths, profiling data, query/bundle/build artifacts, runtime metrics, cache boundaries, load-test expectations, and measurement gaps.
- Invoke
tmcp_explainfor the performance packet. - Invoke
expert_rubric_review_planfor measurement-first remediation planning. - If MCP tools are unavailable, run from the TMCP plugin root:
node scripts/tmcp_launcher.mjs review-plan "Review performance risks and verification signals for <project>" --project-path "<project-path>" --evidence-json '<json>' --write-artifacts
Output Contract
Produce or cite:
- TMCP packet and
substance_check. - Performance evidence and measurement gaps.
- Hot-path and scaling risks.
- Verification plan.
- Ordered remediation plan.
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 · 35 lines · 33 tokens per session scan A ed86e4db2bd4
tmcp-performance-readiness is a skill published in the GitHub repository jakyeamos/tmcp (0 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 290 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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