Borrowing it
Nothing to install: this file belongs to jacob-dietle/context-os. 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/jacob-dietle/context-os/main/.claude/skills/ingest/SKILL.mdgit clone --depth 1 https://github.com/jacob-dietle/context-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/jacob-dietle/context-os/ingest)<a href="https://agentmods.dev/skills/jacob-dietle/context-os/ingest"><img src="https://agentmods.dev/badge/skills/jacob-dietle/context-os/ingest.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00104 | $0.00810 |
| Opus 5 | $0.00052 | $0.00405 |
| Sonnet 5 | $0.00021 | $0.00162 |
| Haiku 4.5 | $0.00010 | $0.00081 |
Grade A, and why
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 8d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Ingestion
Transform raw content (transcripts, documents, notes) into structured knowledge nodes.
Input
User will provide either:
- A file path: Process that file
- Pasted content: Process the content directly
- "this conversation": Extract insights from current chat
Process
-
Analyze Content Type
- Transcript: Extract decisions, action items, concepts discussed
- Document: Extract core thesis, key points, relationships
- Notes: Extract ideas, questions, insights
-
Identify Concepts
- What atomic ideas are present?
- What domain do they belong to? (technical/business/methodology)
- What relationships exist between them?
-
Generate Knowledge Node(s)
For each significant concept, create a node:
--- name: CONCEPT_NAME_IN_CAPS description: One sentence description domain: technical|business|methodology node_type: concept|pattern|case-study|framework status: emergent last_updated: [today's date] tags: - [domain] # First tag must be domain - [relevant-tags] topics: - [3-7 relevant topics] related_concepts: - "[[related-node-1]]" - "[[related-node-2]]" source: type: transcript|document|notes file: "[original filename]" date: "[date if known]" --- # [Concept Name] [2-3 paragraph explanation of the concept] ## Key Points - [Key point 1] - [Key point 2] - [Key point 3] ## Evidence > "[Direct quote from source if available]" ## Related Concepts - [[related-concept-1]] - How they relate - [[related-concept-2]] - How they relate -
Save to Appropriate Location
- Technical concepts → knowledge_base/technical/
- Business concepts → knowledge_base/business/
- Methodology → knowledge_base/methodology/
- Uncertain → knowledge_base/emergent/
-
Report Results
"Processed [filename]:
Created [N] knowledge nodes:
- knowledge_base/[domain]/[concept-name].md
- knowledge_base/[domain]/[concept-name].md
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.
- 8d ago First seen · 116 lines · 104 tokens per session scan A fdc883bc4943
ingest is a skill published in the GitHub repository jacob-dietle/context-os (108 stars, last pushed 25d ago), licensed MIT. It adds 104 tokens to every session and 810 once invoked, about $0.0005 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 2026-08-30.
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