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-meta/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-meta)<a href="https://agentmods.dev/skills/yuqie6/productflow/trellis-meta"><img src="https://agentmods.dev/badge/skills/yuqie6/productflow/trellis-meta/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-meta"><img src="https://agentmods.dev/badge/skills/yuqie6/productflow/trellis-meta.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 | $0.00045 | $0.01146 |
| Opus 5 | $0.00023 | $0.00573 |
| Sonnet 5 | $0.00009 | $0.00229 |
| Haiku 4.5 | $0.00005 | $0.00115 |
Grade A, and why
trellis-meta 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trellis Meta
This skill is for local Trellis users who have already run trellis init in a project. After reading it, an AI should understand the Trellis architecture, operating model, and customization entry points inside that user project, then modify the generated .trellis/ and platform directory files according to the user's request.
The default operating scope is local files in the user project:
.trellis/: workflow, config, tasks, spec, workspace, scripts, and runtime state.- Platform directories:
.claude/,.codex/,.cursor/,.opencode/,.kiro/,.gemini/,.qoder/,.codebuddy/,.github/,.factory/,.pi/,.kilocode/,.agent/,.windsurf/, and similar directories. - Shared skill layer:
.agents/skills/.
Do not assume the user has the Trellis source repository. Do not default to modifying the global npm install directory or node_modules.
How To Use
- Read
references/local-architecture/overview.mdfirst to establish the local Trellis system model. - If the request involves a specific AI tool, read
references/platform-files/platform-map.mdand the relevant platform file notes. - If the user wants to change behavior, read
references/customize-local/overview.md, then open the specific customization topic. - Before editing, read the actual files in the user project and treat local content as authoritative.
References
Local Architecture
references/local-architecture/overview.md: The three-layer local Trellis architecture and customization principles.references/local-architecture/generated-files.md: Files generated bytrellis initand their customization boundaries.references/local-architecture/workflow.md: Phases, routing, and workflow-state blocks in.trellis/workflow.md.references/local-architecture/task-system.md: Task directories, active tasks, JSONL context, and task runtime.references/local-architecture/spec-system.md: How.trellis/spec/is organized and injected.references/local-architecture/workspace-memory.md:.trellis/workspace/, journals, and cross-session memory.references/local-architecture/context-injection.md: Hooks, sub-agent preludes, and context injection paths.
What ships with it
21 files 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.
- references/customize-local/add-project-local-conventions.md 2.4 KB
- references/customize-local/change-agents.md 2.5 KB
- references/customize-local/change-context-loading.md 3.2 KB
- references/customize-local/change-hooks.md 2.3 KB
- references/customize-local/change-skills-or-commands.md 2.6 KB
- references/customize-local/change-spec-structure.md 2.3 KB
- references/customize-local/change-task-lifecycle.md 4.5 KB
- references/customize-local/change-workflow.md 4.2 KB
- references/customize-local/overview.md 2.8 KB
- references/local-architecture/context-injection.md 4.0 KB
- references/local-architecture/generated-files.md 3.8 KB
- references/local-architecture/overview.md 3.6 KB
- references/local-architecture/spec-system.md 3.4 KB
- references/local-architecture/task-system.md 6.0 KB
- references/local-architecture/workflow.md 3.7 KB
- references/local-architecture/workspace-memory.md 2.7 KB
- references/platform-files/agents.md 3.7 KB
- references/platform-files/hooks-and-settings.md 3.8 KB
- references/platform-files/overview.md 3.3 KB
- references/platform-files/platform-map.md 3.9 KB
- references/platform-files/skills-and-commands.md 3.8 KB
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 · 74 lines · 45 tokens per session scan A 942e898a6fd7
trellis-meta is a skill published in the GitHub repository yuqie6/ProductFlow (302 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 1,146 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 2026-08-30.
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