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 MereWhiplash/engram-cogitator --skill auditgit clone --depth 1 https://github.com/MereWhiplash/engram-cogitatorWrote 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/merewhiplash/engram-cogitator/audit)<a href="https://agentmods.dev/skills/merewhiplash/engram-cogitator/audit"><img src="https://agentmods.dev/badge/skills/merewhiplash/engram-cogitator/audit/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/merewhiplash/engram-cogitator/audit"><img src="https://agentmods.dev/badge/skills/merewhiplash/engram-cogitator/audit.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 | $0.00038 | $0.00878 |
| Opus 5 | $0.00019 | $0.00439 |
| Sonnet 5 | $0.00008 | $0.00176 |
| Haiku 4.5 | $0.00004 | $0.00088 |
Grade A, and why
audit 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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit EC Memories
Review, clean, and organize stored memories.
Announce: "I'm using the audit skill to review EC memories."
The Flow
List All → Analyze → Present → Clean → Verify
Step 1: List All Memories
Pull everything by type:
ec_list:
limit: 100
type: decision
ec_list:
limit: 100
type: learning
ec_list:
limit: 100
type: pattern
ec_list:
limit: 100
type: config
Also check for invalidated entries:
ec_list:
limit: 50
include_invalid: true
Step 2: Analyze
Check for Issues
- Duplicates - Same or very similar content
- Stale - References outdated code/patterns
- Vague - Content too generic to be useful
- Miscategorized - Wrong type for the content
Group by Area
Organize memories by their area tag to see coverage:
- Which areas have many memories?
- Which areas are sparse?
- Any orphaned areas (code deleted)?
Step 3: Present Summary
## EC Memory Audit
**Total Memories:** N (D decisions, L learnings, P patterns, C config)
**Invalidated:** N
### By Area
| Area | Decisions | Learnings | Patterns |
|------|-----------|-----------|----------|
| auth | 3 | 2 | 1 |
| api | 1 | 4 | 2 |
| ... | ... | ... | ... |
### Issues Found
- **Duplicates (N):** [list IDs]
- **Potentially stale (N):** [list with reason]
- **Vague entries (N):** [list IDs]
Step 4: Clean Up
Use AskUserQuestion for each category:
{
"questions": [{
"question": "How should I handle the N duplicate memories?",
"header": "Duplicates",
"options": [
{ "label": "Merge", "description": "Keep best version, invalidate others" },
{ "label": "Keep all", "description": "They might have nuance" },
{ "label": "Review each", "description": "Show me one by one" }
],
"multiSelect": false
}]
}
Invalidating Memories
When removing a memory, use ec_invalidate with optional superseding:
ec_invalidate:
id: <old_memory_id>
superseded_by: <new_memory_id> # Optional: link to replacement
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 · 159 lines · 38 tokens per session scan A 9503ef0b8371
audit is a skill published in the GitHub repository MereWhiplash/engram-cogitator (4 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 878 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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