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/notforyou23/home23/knowledge-structuringnpx skills add notforyou23/home23 --skill knowledge-structuringgit clone --depth 1 https://github.com/notforyou23/home23What 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 | $0.00026 | $0.00328 |
| Opus 5 | $0.00013 | $0.00164 |
| Sonnet 5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
Knowledge Structuring 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 2d 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
Knowledge Structuring
Use this skill when the problem is not missing information but bad shape.
When to use
Use knowledge-structuring for:
- messy notes
- mixed research findings
- project handoffs
- outlines, matrices, and taxonomies
Workflow
- Identify the target shape: outline, framework, matrix, checklist, or handoff.
- Group related ideas before naming the buckets.
- Keep the top level small and stable.
- Push detail down, not sideways.
- End with the clean structured artifact only.
Examples
Good outputs:
- decision matrix
- project brief
- source map
- argument tree
Gotchas
- Do not preserve the chaos just because it existed in the input.
- Do not invent categories that sound smart but don’t help action.
- Keep the structure stable enough that another agent can reuse it.
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.
- 2d ago First seen · 60 lines · 26 tokens per session scan A 5a5135a22b0a
Knowledge Structuring is a skill published in the GitHub repository notforyou23/home23 (11 stars, last pushed 7d ago), licensed MIT. It adds 26 tokens to every session and 328 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 2026-08-30.
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