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 agentmods add skills/wrg32786/aigent-os/digestnpx skills add wrg32786/aigent-os --skill digestgit clone --depth 1 https://github.com/wrg32786/aigent-osWrote 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/wrg32786/aigent-os/digest)<a href="https://agentmods.dev/skills/wrg32786/aigent-os/digest"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/digest.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.00344 |
| Opus 5 | $0.00016 | $0.00172 |
| Sonnet 5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
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 4d 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
/digest
Background curation tier. Reviews staged candidates and asks the operator to:
- promote → write to suggested destination (concepts/, decisions/, etc.)
- skip → mark
status: skipped, leave in ledger - supersede → strike + replace an existing vault entry
When to run
- At
/close(auto, surface candidates) - When
/body-checkreportsmemory_candidate_backlog > 10 - Manually when the operator asks
- On the documented seven-day vault-maintenance cadence
Behavior
- Read
vault/memory/MEMORY_CANDIDATES.md(or the documentedmemory/fallback). Filter exactstatus: stagedrows. - Group by
type(decision / preference / doctrine / project / person / skill). - Surface each group to the operator: source phrase, suggested destination, confidence.
- For each, the operator answers in one word: promote / skip / supersede / defer.
- Apply the action. Update
statusanddigested_onfields.
NEVER auto-promote. Only act on the operator's word.
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.
- 4d ago First seen · 41 lines · 32 tokens per session scan A f560e340c875
digest is a skill published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 344 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 2026-09-01.
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