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 skills add bestdeejay-design/agent-skills --skill canongit clone --depth 1 https://github.com/bestdeejay-design/agent-skillsWrote 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/bestdeejay-design/agent-skills/canon)<a href="https://agentmods.dev/skills/bestdeejay-design/agent-skills/canon"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/canon/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/bestdeejay-design/agent-skills/canon"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/canon.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 | $0.00061 | $0.00534 |
| Opus 5 | $0.00030 | $0.00267 |
| Sonnet 5 | $0.00012 | $0.00107 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
canon 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 7d 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.
What it actually says
Canon — Orchestrator
Runs Chronos agent presets, aggregates reports, validates cross-references between L1-L3.
Presets
| Preset | Agents | Description |
|---|---|---|
minimal |
Censor | Duplicates + broken links only |
standard |
Censor + Dewey + Canon | Check + classify + cross-ref |
full |
All 5 agents | Complete Pantheon |
What it does
- Receives preset (minimal/standard/full)
- Determines required agents
- Executes agents in sequence
- Aggregates findings into unified report
- Validates L1→L2→L3 cross-references (contracts match docs)
Usage
# Via Chronos orchestrator
chronos --path . --preset full
# Direct invocation
python -m chronos.agents.canon --path . --preset full
Cross-Reference Validation
Canon checks consistency between levels:
- L1→L2: OpenAPI endpoints documented in PRD/FEATURES
- L2→L3: Architecture decisions trace to PRD requirements
- L3→L1: ADRs reference contract versions
Output Format
[info] preset: full
[info] agents_run: censor, dewey, veles, canon
[warning] cross_ref: GET /users in openapi.yaml (v2.1) but PRD.md shows v2.0
[critical] cross_ref: ADR-005 references deprecated endpoint removed in v2.1
Triggers
run full audit/full auditchronos full/chronos --preset fullcross-reference validation/cross ref checkcanon
Integration
Loaded by Chronos as part of standard and full presets. Canon is both an agent and the preset orchestrator.
What ships with it
1 file 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.
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.
- 7d ago First seen · 69 lines · 61 tokens per session scan A dbdc6f79a5ad
canon is a skill published in the GitHub repository bestdeejay-design/agent-skills (5 stars, last pushed 3d ago), licensed MIT. It adds 61 tokens to every session and 534 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
gws-workflow-email-to-task
Google Workflow: Convert a Gmail message into a Google Tasks entry.
gws-workflow-standup-report
Google Workflow: Today's meetings + open tasks as a standup summary.
workflow
Use when a task is too large for turn-by-turn orchestration and should run through the big-task workflow lane: system-wide changes, large migrations, repo-wide audits, high-confidence verification, or tasks explicitly asking to run a workflow. Claude Code uses native dynamic workflows; Codex, OpenCode, and Grok use…
skill-compiler
Automatic solved-to-skill compiler — detects novel task completions and autonomously drafts new SKILL.md files. Stolen from Hermes Agent's learning loop (NousResearch, 2026-05-11).
context-compactor
9-section context compression with analysis scratchpad. Adapted from Claude Code's /compact system (2026-03-31).
daemon-loop
Autonomous recurring agent tasks — converts workflows into persistent background daemons that run on intervals. Stolen from Boris Cherny's Claude Code /loop pattern (2026-03-31).