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 synthesize-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/synthesize-digest)<a href="https://agentmods.dev/skills/vladick-pick/business-ontology/synthesize-digest"><img src="https://agentmods.dev/badge/skills/vladick-pick/business-ontology/synthesize-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/synthesize-digest"><img src="https://agentmods.dev/badge/skills/vladick-pick/business-ontology/synthesize-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 | $0.00035 | $0.03632 |
| Opus 5.5 | $0.00014 | $0.01453 |
| Sonnet 5.5 | $0.00007 | $0.00726 |
| Haiku 4.5 | $0.00003 | $0.00363 |
Grade A, and why
synthesize-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 2mo 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthesize digest
Purpose
A passive model only speaks when spoken to. It can hold a perfect picture of how a module works and still let that picture rot, because nobody thought to ask the right question this week. The whole point of a business ontology is to be a living model of reality — and a living model needs a heartbeat, not just a query interface.
This skill is that heartbeat. On a cadence, the agent looks across the whole model and surfaces what a human would actually want to know without having to dig: what got committed since last time, what is waiting on a human decision, where the model has drifted from reality, which metrics moved, and which recorded human requests are still open. It compresses all of that into one short, important-first message and posts it to the team channel.
The reasoning behind making this proactive rather than on-demand: drift and staged proposals are exactly the things nobody remembers to check. A staged card that sits unpromoted for three weeks is a fact the team agreed mattered and then forgot. An overdue next-audit is a card quietly going stale. A passive agent never raises these on its own, so they accumulate silently until the model is no longer trusted. A scheduled digest converts "silently rotting" into "visibly on the agenda," which is the difference between a model people rely on and a model people stop reading.
It is also a reporting skill, not an acceptance skill. The digest names what is staged and recommends what deserves attention, but it never promotes anything itself. The agent proposes; an authorized human decides; the deterministic controller applies. Surfacing a pending proposal is help; promoting it on agent authority would be self-approval.
This is a self-initiated skill. The agent reaches for it on its schedule, or the moment someone asks for the state of the module — not because every change needs an announcement, but because the rhythm is what keeps the model alive.
When to use
Reach for this skill when:
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.
- 2mo ago First seen · 164 lines · 35 tokens per session scan A 2dfb1028b9cd
synthesize-digest is a skill published in the GitHub repository Vladick-Pick/business-ontology (3 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 3,632 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 2026-08-31.
synthesize-digest compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| synthesize-digestVladick-Pick/business-ontology | Skill | 3 | 3mo ago | MIT | A | 35 | Claude Code, Codex |
| graph-mutation-planpotpie-ai/potpie | Skill | 5.8k | 8d ago | Apache-2.0 | A | 22 | Claude Code, Codex |
| open-ontologiesfabio-rovai/open-ontologies | Skill | 2.8k | 2d ago | MIT | A | 109 | Claude Code |
| ontology-engineeringfabio-rovai/open-ontologies | Skill | 2.8k | 2d ago | MIT | A | 47 | Claude Code |
| basic-skilldarkrishabh/agent-skills-eval | Skill | 811 | 2d ago | MIT | A | 17 | Claude Code, Codex |
| Rare Disease Skills Indexaristoteleo/PantheonOS | Skill | 493 | yesterday | BSD-2-Clause | A | 43 | Claude Code, Codex |
| objectstack-aiobjectstack-ai/objectstack | Skill | 83 | yesterday | Apache-2.0 | A | 112 | Claude Code, Codex |