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/timurgaleev/memex/idea-ingestnpx skills add timurgaleev/memex --skill idea-ingestgit clone --depth 1 https://github.com/timurgaleev/memexWrote 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/timurgaleev/memex/idea-ingest)<a href="https://agentmods.dev/skills/timurgaleev/memex/idea-ingest"><img src="https://agentmods.dev/badge/skills/timurgaleev/memex/idea-ingest.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 | $0.00060 | $0.00918 |
| Opus 5 | $0.00030 | $0.00459 |
| Sonnet 5 | $0.00012 | $0.00184 |
| Haiku 4.5 | $0.00006 | $0.00092 |
Grade A, and why
idea-ingest 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 6d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea Ingest Skill
Filing rule: Read
skills/_brain-filing-rules.md(viaget_skill _brain-filing-rules) before creating any new page.
Contract
This skill guarantees:
- Every ingested item has a brain page with genuine analysis (not just a summary)
- The author gets a people page (MANDATORY for anyone whose thinking is worth ingesting)
- Cross-links created bidirectionally (source ↔ author, source ↔ mentioned entities)
- Raw source preserved for provenance via the
put_raw_datatool - Every fact has an inline
[Source: ...]citation - Filing follows primary subject rules (not format-based)
Convention: See
conventions/quality.md(viaget_skill conventions/quality) for Iron Law back-linking.
Every mention of a person or company with a brain page MUST create a back-link.
Format: - **YYYY-MM-DD** | Referenced in [page title](path) — brief context
Phases
-
Fetch the content. Use appropriate tools for the content type (web fetch for articles, API for tweets, PDF reader for documents).
-
Preserve the raw source. Store the fetched content for provenance with
put_raw_data, keyed to the page slug it belongs to. Text and JSON go into the brain directly; for large binaries, record the original URL or file path on the page instead. -
Identify the author — MANDATORY people page. Anyone whose thinking is worth ingesting is worth tracking.
searchthe brain for an existing author page- If no page → CREATE ONE (
page_put) with compiled truth + timeline format - If page exists → update the timeline with this new publication (
add_timeline_event) - Cross-link both directions (
link)
-
Save to brain. File by PRIMARY SUBJECT (read
skills/_brain-filing-rules.md):- About a person →
people/ - About a company →
companies/ - A reusable framework →
concepts/ - Raw data dump →
sources/
- About a person →
-
Analyze for the user. Reply with analysis that connects the content to what the brain knows. Think about:
- Active projects — is this relevant?
- Contradictions — does this challenge existing brain knowledge?
- Connections — does this involve known people/companies?
- Don't just summarize. Tell the user things they wouldn't have noticed.
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.
- 6d ago First seen · 105 lines · 60 tokens per session scan A 2efc4577216a
idea-ingest is a skill published in the GitHub repository timurgaleev/memex (8 stars, last pushed 4d ago), licensed MIT. It adds 60 tokens to every session and 918 once invoked, about $0.0003 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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