Borrowing it
Nothing to install: this file belongs to AutomatosAI/automatos-ai. 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/AutomatosAI/automatos-ai/main/.claude/agents/canonical-term-checker.mdgit clone --depth 1 https://github.com/AutomatosAI/automatos-aiWrote 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/automatosai/automatos-ai/canonical-term-checker)<a href="https://agentmods.dev/agents/automatosai/automatos-ai/canonical-term-checker"><img src="https://agentmods.dev/badge/agents/automatosai/automatos-ai/canonical-term-checker/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/automatosai/automatos-ai/canonical-term-checker"><img src="https://agentmods.dev/badge/agents/automatosai/automatos-ai/canonical-term-checker.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 | $0.00075 | $0.00853 |
| Opus 5 | $0.00037 | $0.00426 |
| Sonnet 5 | $0.00015 | $0.00171 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
canonical-term-checker 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 12d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 12d ago First seen · 80 lines · 75 tokens per session scan A c62b6877cfbf
canonical-term-checker is an agent published in the GitHub repository AutomatosAI/automatos-ai (45 stars, last pushed yesterday), with no licence file. It adds 75 tokens to every session and 853 once invoked, about $0.0004 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
repo-explorer
Read-only codebase exploration. Use to locate code, trace dependencies, or summarize modules without polluting the main context window. MUST be used for heavy reading during /cold-start and /create-feature-catalog.
feature-builder
Implements a planned change with surgical diffs. Use after a spec/touch list exists. Respects MODULEMAP Stability absolutely.
test-runner
Runs builds and test suites and reports results faithfully. Use to verify changes before any claim of success.
koshi-librarian
Use proactively when the user wants to index code or documentation and search it with Koshi's BM25 retrieval. Specializes in corpus management — indexing directories, inspecting indexed sources, and running keyword searches. Does NOT manage memories, compile context windows, or score teams.
ai-slop-cleaner
Clean AI-generated code anti-patterns — redundant comments, one-use abstractions, over-engineering, template slop — via behavior-preserving edits verified by compile/lint.
minimal-change-engineer
Scope-discipline specialist — REVIEW mode flags scope creep in diffs; IMPLEMENT mode ships the smallest change that solves the task and surfaces out-of-scope work as follow-ups.