Borrowing it
Nothing to install: this file belongs to hsingjui/ContextWeaver. 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/hsingjui/ContextWeaver/main/.agents/skills/trellis-meta/SKILL.mdgit clone --depth 1 https://github.com/hsingjui/ContextWeaverWrote 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/hsingjui/contextweaver/trellis-meta)<a href="https://agentmods.dev/skills/hsingjui/contextweaver/trellis-meta"><img src="https://agentmods.dev/badge/skills/hsingjui/contextweaver/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/hsingjui/contextweaver/trellis-meta"><img src="https://agentmods.dev/badge/skills/hsingjui/contextweaver/trellis-meta.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 | $0.00110 | $0.02903 |
| Opus 5 | $0.00055 | $0.01452 |
| Sonnet 5 | $0.00022 | $0.00581 |
| Haiku 4.5 | $0.00011 | $0.00290 |
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 2d 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.
This is a copy
89% identical to trellis-meta — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 86 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.
Trellis v0.6 adds three architectural surfaces on top of the pre-v0.6 workflow / persistence / platform model. First, a multi-agent collaboration runtime: trellis channel coordinates multiple AI worker processes through project-scoped JSONL event logs at ~/.trellis/channels/<project>/<channel>/events.jsonl, with worker OOM guard, forum/thread channels, durable idempotency keys, and bundled .trellis/agents/{check,implement}.md runtime definitions. Second, cross-session memory: trellis mem list | search | context | extract | projects reads raw Claude Code, Codex, and Pi Agent JSONL already on disk, slices by --phase brainstorm|implement|all, and never uploads anything. Third, a dual-package npm release: @mindfoldhq/trellis (CLI) and @mindfoldhq/trellis-core (SDK with /channel, /task, /mem, /testing subpaths) ship in lockstep on one version. Treat these as first-class customization surfaces alongside the per-platform integration files.
The default operating scope is local files in the user project:
.trellis/: workflow, config, tasks, spec, workspace, scripts, bundled runtime agents, and runtime state.- Platform directories:
.claude/,.codex/,.cursor/,.opencode/,.kiro/,.gemini/,.qoder/,.codebuddy/,.github/,.factory/,.pi/,.reasonix/,.kilocode/,.agent/,.devin/,.kimi-code/, and similar directories. Pi additionally exposes a nativetrellis_subagenttool withsingle/parallel/chaindispatch modes, throttled progress cards, andisTrellisAgent()validation on top of the file layout. Reasonix stores both workflow skills and subagent skills as.reasonix/skills/<name>/SKILL.md; subagent skills carryrunAs: subagentfrontmatter. Kimi Code keeps workflow skills in the shared.agents/skills/layer, delivers commands plus agent prompts as.kimi-code/skills/<name>/SKILL.md, and installs the same agent prompts as custom sub-agents under.kimi-code/agents/<name>.md. - Shared skill layer:
.agents/skills/. - User-owned channel store outside the project tree:
~/.trellis/channels/<project>/<channel>/events.jsonl. - Raw platform conversation logs queryable via
trellis mem:~/.claude/projects/,~/.codex/sessions/, and~/.pi/agent/sessions/(OpenCode adapter degraded for the v0.6 line).
Do not assume the user has the Trellis source repository. Do not default to modifying the global npm install directory or node_modules — both @mindfoldhq/trellis and @mindfoldhq/trellis-core ship as published packages sharing one version and one git tag per release.
What ships with it
23 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 2.6 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 6.8 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/bundled-skills.md 12 KB
- references/local-architecture/context-injection.md 4.0 KB
- references/local-architecture/generated-files.md 3.8 KB
- references/local-architecture/multi-agent-channel.md 6.6 KB
- references/local-architecture/overview.md 3.7 KB
- references/local-architecture/spec-system.md 3.4 KB
- references/local-architecture/task-system.md 6.1 KB
- references/local-architecture/workflow.md 3.7 KB
- references/local-architecture/workspace-memory.md 2.7 KB
- references/platform-files/agents.md 3.9 KB
- references/platform-files/hooks-and-settings.md 4.3 KB
- references/platform-files/overview.md 3.5 KB
- references/platform-files/platform-map.md 7.0 KB
- references/platform-files/skills-and-commands.md 3.9 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.
- 2d ago First seen · 86 lines · 110 tokens per session scan A ee7bcfd0023d
trellis-meta is a skill published in the GitHub repository hsingjui/ContextWeaver (297 stars, last pushed 2d ago), licensed MIT. It adds 110 tokens to every session and 2,903 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to trellis-meta, differing in 4 lines, and is treated as a copy.
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