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 Vladick-Pick/business-ontology --skill promote-digestgit clone --depth 1 https://github.com/Vladick-Pick/business-ontologyWrote 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/vladick-pick/business-ontology/promote-digest)<a href="https://agentmods.dev/skills/vladick-pick/business-ontology/promote-digest"><img src="https://agentmods.dev/badge/skills/vladick-pick/business-ontology/promote-digest/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/vladick-pick/business-ontology/promote-digest"><img src="https://agentmods.dev/badge/skills/vladick-pick/business-ontology/promote-digest.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 | $0.00036 | $0.03432 |
| Opus 5 | $0.00018 | $0.01716 |
| Sonnet 5 | $0.00007 | $0.00686 |
| Haiku 4.5 | $0.00004 | $0.00343 |
Grade A, and why
promote-digest 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Promote digest
Purpose
The whole model runs on one invariant: the agent proposes, an authorized human decides, and a deterministic controller applies that exact revision. Everything you mine lands in staged/; nothing becomes accepted until a human says so. That gate is what keeps an autonomous agent from quietly rewriting the company's model of itself. Approval must work directly from chat; requiring the reviewer to open the repository and merge a second pull request makes the queue rot without adding semantic authority.
This skill makes the decision gate cheap enough to use from chat. It turns the staged queue into a digest where every item contains the diff, source, impact, and validation result. The human still decides; the deterministic controller handles application.
It is also a trust-boundary checkpoint. Staged cards may carry facts mined from untrusted inputs — a chat export, a spreadsheet, a connector. The digest is where provenance becomes visible before anything is committed: every item names its source and its source's trust level, so a human can see that a "fact" is really a chat opinion before it gets stamped accepted. You surface that; you never launder it by promoting on your own.
This is a self-initiated skill — you reach for it when the staged queue is worth a human's attention, not because someone asked you to file a report.
When to use
Reach for this skill when:
- A mining pass or capture-loop session has left two or more cards in
staged/and you want them committed. - A drift-sweep produced status changes, gaps, or new open questions that need a human decision.
- The staged queue has grown to the point where pointing the human at the folder is more friction than a digest would be.
- A human asks "what's waiting?", "anything to approve?", "show me what you staged", or similar.
- A
conflictwas detected (two sources disagree, a proposed change contradicts an accepted card) and the human needs to choose — the digest is how you put the choice in front of them.
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 · 144 lines · 36 tokens per session scan A c608e22d6ec6
promote-digest is a skill published in the GitHub repository Vladick-Pick/business-ontology (2 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 3,432 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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