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 Eysn0130/DeepLaw --skill deeplaw-promote-draftgit clone --depth 1 https://github.com/Eysn0130/DeepLawWrote 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/eysn0130/deeplaw/deeplaw-promote-draft)<a href="https://agentmods.dev/skills/eysn0130/deeplaw/deeplaw-promote-draft"><img src="https://agentmods.dev/badge/skills/eysn0130/deeplaw/deeplaw-promote-draft/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/eysn0130/deeplaw/deeplaw-promote-draft"><img src="https://agentmods.dev/badge/skills/eysn0130/deeplaw/deeplaw-promote-draft.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 | $0.00047 | $0.00232 |
| Opus 5 | $0.00023 | $0.00116 |
| Sonnet 5 | $0.00009 | $0.00046 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
deeplaw-promote-draft 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.
What it actually says
Promote an Admitted Draft
Require an exact draft_id, explicit owner direction, and confirm_no_case_data=true.
- Read and verify the draft, its source references, scope, sensitivity, provenance, and duplicate
checks with
knowledge_supportbefore proposing any action. - Require a separately owner-created Grant for
knowledge_sinkallowing onlypromote_knowledge_draft, or require an explicit owner CLI action. Never create, widen, inspect, or copy a Grant. - Require the recorded evaluator, reason, and any external or owner check. Preserve
origin=agent_derived,legal_authority=false, scope, sensitivity, and immutable lineage. - Never promote automatically, invoke a model automatically, mutate Markdown directly, or turn ranking into Authority. Report rejection, quarantine, or successful promotion exactly.
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.
- 9d ago First seen · 19 lines · 47 tokens per session scan A 07567df7237e
deeplaw-promote-draft is a skill published in the GitHub repository Eysn0130/DeepLaw (4 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 232 once invoked, about $0.0002 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 2026-08-31.
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