Borrowing it
Nothing to install: this file belongs to yuqie6/ProductFlow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yuqie6/ProductFlow/main/.agents/skills/trellis-check/SKILL.mdgit clone --depth 1 https://github.com/yuqie6/ProductFlowWrote 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/yuqie6/productflow/trellis-check)<a href="https://agentmods.dev/skills/yuqie6/productflow/trellis-check"><img src="https://agentmods.dev/badge/skills/yuqie6/productflow/trellis-check/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/yuqie6/productflow/trellis-check"><img src="https://agentmods.dev/badge/skills/yuqie6/productflow/trellis-check.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 | $0.00054 | $0.00649 |
| Opus 5 | $0.00027 | $0.00324 |
| Sonnet 5 | $0.00011 | $0.00130 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
trellis-check 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:
- trellis-check — 100% identical, 2 lines differ
- trellis-check — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Quality Check
Comprehensive quality verification for recently written code. Combines spec compliance, cross-layer safety, and pre-commit checks.
Step 1: Identify What Changed
git diff --name-only HEAD
git status
Step 2: Read Task Artifacts and Applicable Specs
Read the current task artifacts in order:
prd.mddesign.mdif presentimplement.mdif present
python3 ./.trellis/scripts/get_context.py --mode packages
For each changed package/layer, read the spec index and follow its Quality Check section:
cat .trellis/spec/<package>/<layer>/index.md
Read the specific guideline files referenced — the index is a pointer, not the goal.
Step 3: Run Project Checks
Run the project's lint, type-check, and test commands. Fix any failures before proceeding.
Step 4: Review Against Checklist
Code Quality
- Linter passes?
- Type checker passes (if applicable)?
- Tests pass?
- No debug logging left in?
- No suppressed warnings or type-safety bypasses?
Test Coverage
- New function → unit test added?
- Bug fix → regression test added?
- Changed behavior → existing tests updated?
Spec Sync
- Does
.trellis/spec/need updates? (new patterns, conventions, lessons learned)
"If I fixed a bug or discovered something non-obvious, should I document it so future me won't hit the same issue?" → If YES, update the relevant spec doc.
Step 5: Cross-Layer Dimensions (if applicable)
Skip this step if your change is confined to a single layer.
A. Data Flow (changes touch 3+ layers)
- Read flow traces correctly: Storage → Service → API → UI
- Write flow traces correctly: UI → API → Service → Storage
- Types/schemas correctly passed between layers?
- Errors properly propagated to caller?
B. Code Reuse (modifying constants, creating utilities)
- Searched for existing similar code before creating new?
grep -r "pattern" src/ - If 2+ places define same value → extracted to shared constant?
- After batch modification, all occurrences updated?
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 · 99 lines · 54 tokens per session scan A b21ff04b7680
trellis-check is a skill published in the GitHub repository yuqie6/ProductFlow (302 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 649 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 2026-08-30.
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