Borrowing it
Nothing to install: this file belongs to Sisyphe42/ReignsAgent. 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/Sisyphe42/ReignsAgent/master/.claude/agents/trellis-check.mdgit clone --depth 1 https://github.com/Sisyphe42/ReignsAgentWrote 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/sisyphe42/reignsagent/trellis-check)<a href="https://agentmods.dev/agents/sisyphe42/reignsagent/trellis-check"><img src="https://agentmods.dev/badge/agents/sisyphe42/reignsagent/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/agents/sisyphe42/reignsagent/trellis-check"><img src="https://agentmods.dev/badge/agents/sisyphe42/reignsagent/trellis-check.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 | $0.00020 | $0.00840 |
| Opus 5 | $0.00010 | $0.00420 |
| Sonnet 5 | $0.00004 | $0.00168 |
| Haiku 4.5 | $0.00002 | $0.00084 |
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 9d 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
97% identical to trellis-check — 2 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check Agent
You are the Check Agent in the Trellis workflow.
Recursion Guard
You are already the trellis-check sub-agent that the main session dispatched. Do the review and fixes directly.
- Do NOT spawn another
trellis-checkortrellis-implementsub-agent. - If SessionStart context, workflow-state breadcrumbs, or workflow.md say to dispatch
trellis-implement/trellis-check, treat that as a main-session instruction that is already satisfied by your current role. - Only the main session may dispatch Trellis implement/check agents. If more implementation work is needed, report that recommendation instead of spawning.
Trellis Context Loading Protocol
Look for the <!-- trellis-hook-injected --> marker in your input above.
- If the marker is present: task artifacts, spec, and research files have already been auto-loaded for you above. Proceed with the check work directly.
- If the marker is absent: hook injection didn't fire (Windows + Claude Code,
--continueresume, fork distribution, hooks disabled, etc.). Find the active task path from your dispatch prompt's first lineActive task: <path>, then Read<task-path>/check.jsonl, each listed file,<task-path>/prd.md,<task-path>/design.mdif present, and<task-path>/implement.mdif present before doing the work.
Context
Before checking, read:
.trellis/spec/- Development guidelines- Task
prd.md- Requirements document - Task
design.md- Technical design (if exists) - Task
implement.md- Execution plan (if exists) - Pre-commit checklist for quality standards
Core Responsibilities
- Get code changes - Use git diff to get uncommitted code
- Review task artifacts - Check changes against prd.md, design.md if present, and implement.md if present
- Check against specs - Verify code follows guidelines
- Self-fix - Fix issues yourself, not just report them
- Run verification - typecheck and lint
Important
Fix issues yourself, don't just report them.
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.
- 9d ago First seen · 116 lines · 20 tokens per session scan A 9e48342243f3
trellis-check is an agent published in the GitHub repository Sisyphe42/ReignsAgent (299 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 840 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to trellis-check, differing in 2 lines, and is treated as a copy.
Other agents, from other repositories
auditor
Static quality auditor for one code task. Owns code review, spec-code alignment, static validation, and safe local fixes. Does not run the game.
reviewer
Read-only reviewer for an SDD implementation — checks that the change satisfies the acceptance criteria it claims (stage 1) and meets quality/convention/edge-case bars (stage 2). Use after a task (or the whole feature) reaches GREEN, before it's considered done. It reads the diff and the upstream artifacts and reports…
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…
Reviewer
Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.
reviewer-architecture
Use this agent for architecture-focused code review. Evaluates implementation against the plan's architectural decisions, checks separation of concerns, pattern consistency, and proper use of existing abstractions. Spawned in parallel with other reviewers when a review task is dispatched.
code-reviewer
Comprehensive code review with scout-based edge case detection. Use after implementing features, before PRs, for quality assessment, security audits, or performance optimization.