Borrowing it
Nothing to install: this file belongs to ribeirogab/zeno-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ribeirogab/zeno-agent/main/.agents/skills/memex-recall/SKILL.mdgit clone --depth 1 https://github.com/ribeirogab/zeno-agentWrote 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/ribeirogab/zeno-agent/memex-recall)<a href="https://agentmods.dev/skills/ribeirogab/zeno-agent/memex-recall"><img src="https://agentmods.dev/badge/skills/ribeirogab/zeno-agent/memex-recall/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/ribeirogab/zeno-agent/memex-recall"><img src="https://agentmods.dev/badge/skills/ribeirogab/zeno-agent/memex-recall.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 | $0.00013 | $0.00346 |
| Opus 5 | $0.00006 | $0.00173 |
| Sonnet 5 | $0.00003 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
memex-recall 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.
What it actually says
Recall — Project Context Scout
Quick reconnaissance of the .vault/ vault. Gives the agent a working map of where things are and what the project cares about, without deep-diving into every file.
Announce at start: "Running project reconnaissance..."
Protocol
Execute these steps in order. Read files — do not edit anything.
1. Structure scan
Run a glob for .vault/**/*.md to get the file tree. Present it as a compact list grouped by folder.
2. Constitution (skim)
Read .vault/constitution.md. Extract and list:
- The "Why" summary (1-2 sentences)
- Scope guardrails (bullet list)
- Architecture principles (bullet list)
3. MOCs (index scan)
Read all files in .vault/_index/. For each MOC, list the entries it links to (just the note names, not full content).
4. Report
Output a single structured summary:
Project Recon
What: Stack:
Knowledge Map
- Constitution: principles
- Specs: shipped, active
- Learnings: notes —
- Conventions: notes —
- Rules: notes
Key Pointers
Keep the whole output under 40 lines. This is a map, not a book report.
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 · 51 lines · 13 tokens per session scan A 0635a687d0d9
memex-recall is a skill published in the GitHub repository ribeirogab/zeno-agent (9 stars, last pushed 3mo ago), licensed MIT. It adds 13 tokens to every session and 346 once invoked, about $0.0001 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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Prunes and consolidates the project's auto-memory to keep it minimal — deletes stale, wrong, or redundant memories, merges overlapping ones into existing files, and trims the index. Strong bias against growth: never creates new memory files and never stores new facts. Verifies staleness against the current codebase…