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 Ghosteken/agent-harness --skill atlas-ledgergit clone --depth 1 https://github.com/Ghosteken/agent-harnessWrote 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/ghosteken/agent-harness/atlas-ledger)<a href="https://agentmods.dev/skills/ghosteken/agent-harness/atlas-ledger"><img src="https://agentmods.dev/badge/skills/ghosteken/agent-harness/atlas-ledger/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/ghosteken/agent-harness/atlas-ledger"><img src="https://agentmods.dev/badge/skills/ghosteken/agent-harness/atlas-ledger.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 | $0.00056 | $0.03701 |
| Opus 5 | $0.00028 | $0.01851 |
| Sonnet 5 | $0.00011 | $0.00740 |
| Haiku 4.5 | $0.00006 | $0.00370 |
Grade A, and why
atlas-ledger 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 8d 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
95% identical to atlas-ledger — 32 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Atlas Ledger v2.2
Give the Atlas series a memory.
Contents
- Output Language
- When To Run
- Distillation (the core) — Steps 1–6
- Atlas.md format
- Clause maintenance
- Integration with atlas-contract
- Final Principle
Quick reference
caught drift (auto handoff from Final Audit / Post Review / Phase Check / user request)
→ Step 1 state facts, not motive
→ Step 2 draft WHEN / DON'T / INSTEAD
→ Step 3 four gates: Actionability → Replay → Generalization → Over-reach
→ Step 4 first occurrence = Observation [O#]; repeat or high-severity = Clause [L#]
→ Step 5 propose, ATLAS_STOP, write only after user confirms
→ Step 6 merge-first into Atlas.md; confirmed clauses ≤ 15
atlas-contract defends the goal within one conversation, but it starts from zero every time — it does not know where this project drifted before. atlas-ledger closes that gap: when a drift is caught, it distills the lesson into a permanent, project-local contract clause and (after the user confirms) writes it to Atlas.md. Next time atlas-contract builds a Goal Contract, it loads the relevant clauses, so the defense line thickens with each catch. That is the compounding effect.
It is a low-frequency, lightweight companion. It runs only after a drift is caught, and it stays small on purpose. Do not turn it into a second heavy governance skill — its only hard job is distillation quality.
Core idea
The job is not to keep a diary. A record of "what went wrong" is a memory; it changes nothing. The job is a translation:
turn this caught drift → into a clause that can enter a future contract and trigger a stop.
A diary says "I hid the feature." A ledger clause says "WHEN a backend requirement is blocked, DON'T hide the feature, INSTEAD stop and disclose." Only the second one catches it next time. The entire value of this skill is the quality of that translation — and since it is run by the same model that drifted, the mechanisms below exist to keep it honest rather than trusting it to be careful.
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.
- 8d ago First seen · 252 lines · 56 tokens per session scan A c62d03abf38f
atlas-ledger is a skill published in the GitHub repository Ghosteken/agent-harness (2 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 3,701 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to atlas-ledger, differing in 32 lines, and is treated as a copy.
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