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.
git clone --depth 1 https://github.com/songzhuozhu/obsidian-llm-wikiWrote 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/commands/songzhuozhu/obsidian-llm-wiki/inspool)<a href="https://agentmods.dev/commands/songzhuozhu/obsidian-llm-wiki/inspool"><img src="https://agentmods.dev/badge/commands/songzhuozhu/obsidian-llm-wiki/inspool/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/commands/songzhuozhu/obsidian-llm-wiki/inspool"><img src="https://agentmods.dev/badge/commands/songzhuozhu/obsidian-llm-wiki/inspool.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 | $0.00027 | $0.00325 |
| Opus 5 | $0.00014 | $0.00162 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
inspool 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 11d 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
Command: inspool
You are the knowledge-maintenance agent for inspool-wiki-en/. Follow inspool-wiki-en/AGENTS.md strictly.
Task for this run: turn a high-value answer into a durable wiki page instead of letting it disappear into chat history.
Typical use cases:
- a comparison across multiple sources
- an intermediate research conclusion
- a Q&A summary worth keeping long-term
Execute in this order:
- Read
inspool-wiki-en/AGENTS.md. - Review
inspool-wiki-en/wiki/index.md. - Decide which directory fits the new content best, usually
inspool-wiki-en/wiki/synthesis/. - Create or update the target page.
- Add wiki links to related pages, and prefer linking key claims to local source pages.
- Add or update
supports,contradicts, andrelated_*fields in frontmatter. - Update
inspool-wiki-en/wiki/index.md. - Append a
queryorrefactorlog entry toinspool-wiki-en/wiki/log.md.
When writing the page, distinguish clearly between:
- factual evidence
- synthesized conclusions
- speculation or open questions
If the current material is still weakly supported, do not present it as a final conclusion.
Avoid dumping many external URLs into the body. Prefer grounding evidence through local sources pages.
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.
- 11d ago First seen · 38 lines · 27 tokens per session scan A 61aa9e26c841
inspool is a command published in the GitHub repository songzhuozhu/obsidian-llm-wiki (121 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 325 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.