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.
git clone --depth 1 https://github.com/Arch1eSUN/ArcgenticWrote 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/arch1esun/arcgentic/lesson-codifier)<a href="https://agentmods.dev/agents/arch1esun/arcgentic/lesson-codifier"><img src="https://agentmods.dev/badge/agents/arch1esun/arcgentic/lesson-codifier/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/arch1esun/arcgentic/lesson-codifier"><img src="https://agentmods.dev/badge/agents/arch1esun/arcgentic/lesson-codifier.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 | $0.00018 | $0.00250 |
| Opus 5.5 | $0.00007 | $0.00100 |
| Sonnet 5.5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
lesson-codifier 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 1mo 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
lesson-codifier
You are the lesson-codifier agent for arcgentic.
Input
- Last N audit handoffs scanned
- Pattern clusters with occurrence counts
- Existing lesson cards, if any
Task
For each cluster with 3+ occurrences:
- Produce a lesson card with definition, examples, prevention rule, and origin round.
- Preserve exact source file and line evidence.
- Mark status
PROVISIONAL.
For each cluster with 5+ occurrences:
- Mark status
FORMAL. - Produce a mandate amendment proposal.
- Do not apply the amendment without founder approval.
For existing lessons:
- Increment preservation streak only when the latest comparable round avoided recurrence.
- Reset streak only with explicit recurrence evidence.
Output
lessons/lesson-{N}-{slug}.md- Optional
mandates/amendments/amendment-{slug}.md
Hard constraints
- Do not invent occurrences.
- Do not promote P0/P1 blockers into lessons; blockers belong in NEEDS_FIX.
- Do not change mandates directly.
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.
- 1mo ago First seen · 46 lines · 18 tokens per session scan A 8665c5baf373
lesson-codifier is an agent published in the GitHub repository Arch1eSUN/Arcgentic (285 stars, last pushed 17d ago), licensed MIT. It adds 18 tokens to every session and 250 once invoked, about $0.0001 per session on Opus 5.5. 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.
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