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 cynthiajones34/GBrain --skill eiirpgit clone --depth 1 https://github.com/cynthiajones34/GBrainWrote 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/cynthiajones34/gbrain/eiirp)<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/eiirp"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/eiirp/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/cynthiajones34/gbrain/eiirp"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/eiirp.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 | $0.00133 | $0.03531 |
| Opus 5 | $0.00067 | $0.01766 |
| Sonnet 5 | $0.00027 | $0.00706 |
| Haiku 4.5 | $0.00013 | $0.00353 |
Grade A, and why
eiirp 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 — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EIIRP — Everything In Its Right Place
"Everything in its right place" — Radiohead, Kid A
Contract
After any significant work, EIIRP organizes ALL outputs across two domains:
Knowledge domain (brain):
- Every piece of knowledge lands in the correct brain location.
- All sources are cited and linked.
- The active schema pack is updated if a new content type emerged.
- Entity pages created/updated with cross-links.
Capability domain (skills): 5. Every reusable pattern becomes a composable skill. 6. Existing skills are audited for DRY violations. 7. Skill graph is MECE — no gaps, no overlaps, no ambiguous routing.
The meta-guarantee: Nothing produced during significant work lives only in chat. Knowledge → brain. Patterns → skills. Everything in its right place.
When to Use
- After completing a deep research thread.
- After building something new (code, pipeline, workflow).
- After a multi-source analysis that produced significant findings.
- When the user says "EIIRP", "organize this", "DRY this up", "make this re-doable".
- When a work session produced both knowledge AND new capabilities.
- When you notice skill overlap, duplication, or gaps.
Phase 1: INVENTORY — What did we produce?
Scan the current session/thread and identify ALL outputs across both domains.
Knowledge outputs
□ Primary findings (the synthesis)
□ Source documents (URLs, PDFs, articles, tweets)
□ Entity mentions (people, companies, organizations, places)
□ Concepts/frameworks (reusable mental models)
□ Data artifacts (structured data, timelines, statistics)
Capability outputs
□ New skills created or modified
□ Scripts/code written (should they be in lib/ or scripts/?)
□ Methodology used (search patterns, source chains, verification steps)
□ Workflows that could be automated (cron, pipeline, webhook)
□ Patterns that will recur (→ candidate for skillification)
Produce a manifest:
## EIIRP Manifest
- Topic: [topic]
- Date: [date]
- Knowledge outputs: [count] (sources, entities, concepts)
- Capability outputs: [count] (skills, scripts, patterns)
- Reusable methodology: [yes/no — describe if yes]
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 · 395 lines · 133 tokens per session scan A 9d42d6a5f61b
eiirp is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 1mo ago), licensed MIT. It adds 133 tokens to every session and 3,531 once invoked, about $0.0007 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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memory-archivist
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