Trellis is an engineering framework that stores project specifications, tasks, and working memory in a repository so coding agents can follow consistent development practices across sessions. Teams use it to organize AI-assisted planning, implementation, review, and validation across multiple coding platforms. The catalogue entries provide Trellis commands, agents, hooks, skills, instructions, and settings.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/mindfold-ai/trellis/trellis-researchgit clone --depth 1 https://github.com/mindfold-ai/TrellisWrote 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/agents/mindfold-ai/trellis/trellis-research)<a href="https://agentmods.dev/agents/mindfold-ai/trellis/trellis-research"><img src="https://agentmods.dev/badge/agents/mindfold-ai/trellis/trellis-research.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00910 |
| Opus 5 | $0.00021 | $0.00455 |
| Sonnet 5 | $0.00008 | $0.00182 |
| Haiku 4.5 | $0.00004 | $0.00091 |
Grade A, and why
trellis-research 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 6d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 6d ago First seen · 138 lines · 42 tokens per session scan A add4aa4259de
trellis-research is an agent published in the GitHub repository mindfold-ai/Trellis (14,462 stars, last pushed 9d ago), licensed AGPL-3.0. It adds 42 tokens to every session and 910 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.
Other agents, from other repositories
truth-route-auditor
Read-only Truthmark route auditor for bounded routing and ownership verification.
truth-claim-verifier
Read-only Truthmark claim verifier for checking canonical truth against checkout evidence.
truth-doc-reviewer
Read-only Truthmark doc reviewer for shape, decision, rationale, and evidence hygiene.
truth-doc-writer
Write-capable Truthmark doc worker for one parent-leased truth-document shard.
capsule-regenerator
Regenerates a recalled Feature Capsule onto the CURRENT codebase. Given a regeneration brief (the capsule's intent/knobs/data-assumptions/resurrection guide + the live source of the regions it touches), it re-implements the feature into today's code — adapting to refactors — and leaves a reviewable diff. It never runs…
capsule-segmenter
Segments a raw git diff into clean, high-quality Feature Capsules. Separates real features from infrastructure noise, and for each feature writes intent, knobs, assumptions, and an operational resurrection guide. This is the "Phase 2" semantic step that replaces the free heuristic segmenter — it runs on the host…