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/Pantani/tdmcpnpx agentmods add skills/pantani/tdmcp/tdmcp-test-coverageWrote 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/pantani/tdmcp/tdmcp-test-coverage)<a href="https://agentmods.dev/skills/pantani/tdmcp/tdmcp-test-coverage"><img src="https://agentmods.dev/badge/skills/pantani/tdmcp/tdmcp-test-coverage/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/pantani/tdmcp/tdmcp-test-coverage"><img src="https://agentmods.dev/badge/skills/pantani/tdmcp/tdmcp-test-coverage.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 | $0.00086 | $0.00653 |
| Opus 5 | $0.00043 | $0.00327 |
| Sonnet 5 | $0.00017 | $0.00131 |
| Haiku 4.5 | $0.00009 | $0.00065 |
Grade A, and why
tdmcp-test-coverage 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- tdmcp-test-coverage — 100% identical, 0 lines differ
- tdmcp-test-coverage — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tdmcp-test-coverage
Use this skill for coverage-improvement work in this repository. The goal is more tested behavior, not prettier percentages.
Phase 0 - Context
- Read
AGENTS.md,package.json,vitest.config.ts, and the nearest tests. - Run
npm run coverage:harnessunless the user asked for a static-only pass. - Read
_workspace/coverage/latest.md. - Treat the actionable scope as
src/**/*.ts;src/knowledge/data/**is generated reference data and is intentionally excluded.
Phase 1 - Select gaps
Choose one to three independent gaps. Prefer seams where a test can lock a real contract:
- CLI/config: parsing, defaulting, env precedence, diagnostics, and exit behavior.
- Resource/knowledge loaders: URI matching, malformed input, ranking, and stable result shape.
- Tool implementations: Zod defaults, bridge payloads, warnings, and
isErrorpaths using msw. - Server/client boundaries: offline TD behavior, auth forwarding, timeout/retry, event streaming, and transport setup.
Skip generated data, docs-only files, and import-only tests.
Phase 2 - Build tests
For parallel work, spawn tdmcp-coverage-writer agents with one seam each. Give
each writer:
- target file(s) and nearest existing test to mirror;
- behavior to assert;
- expected failure mode or branch to cover;
- exact narrow command to run.
The lead is the single writer for shared config, package scripts, and harness docs. Do not let multiple agents edit the same test file.
Phase 3 - Verify
Run narrow tests first. Then run:
npm run typecheck
npm run build
./node_modules/.bin/biome check .
npm run coverage:harness
npm run validate:recipes
npm run test:bridge
If a gate fails, fix forward. Do not lower coverage thresholds, delete assertions, or exclude executable code to pass.
Phase 4 - Report
Write _workspace/coverage/wave-<date>.md with:
- starting and ending coverage summary;
- tests added and behaviors covered;
- commands run;
- PASS/FAIL/UNVERIFIED buckets;
- next suggested gaps from
_workspace/coverage/latest.md.
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 · 79 lines · 86 tokens per session scan A f9a7fa65be19
tdmcp-test-coverage is a skill published in the GitHub repository Pantani/tdmcp (39 stars, last pushed 25d ago), licensed MIT. It adds 86 tokens to every session and 653 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
web3-testing
Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.
temporal-python-testing
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
data-quality-frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
dbt-transformation-patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
go-testing
Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.
review-ugc-render
Mandatory pre-publish review gate for a UGC video render. Transcribes the finished render's AUDIO with Whisper and word-diffs it against the approved spoken script, then gates setfinalrender — blocking a render whose generated audio mis-voices a word (e.g. the approved "human-vetted" spoken as "human witted"), drops…