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 commands/ankushdixit/claude-plugins/learn-searchgit clone --depth 1 https://github.com/ankushdixit/claude-pluginsWhat 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 | $0.00005 | $0.00257 |
| Opus 5 | $0.00003 | $0.00129 |
| Sonnet 5 | $0.00001 | $0.00051 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
learn-search 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
Search Learnings
Full-text search across all learning content, tags, and context.
Usage
Extract the search query from $ARGUMENTS and run:
sk learn-search "$@"
How Search Works
The search looks for matches in:
- Learning content (main text)
- Tags
- Context/notes
- Category names
Search is case-insensitive and finds partial matches.
Examples
Search for "CORS":
sk learn-search "CORS"
Search for "FastAPI middleware":
sk learn-search "FastAPI middleware"
Search for "authentication":
sk learn-search "authentication"
Display Format
Show matching learnings with:
- Learning content with matched text highlighted
- Category and tags
- Session where captured
- Relevance score or match indicator
- Learning ID
Present results in order of relevance, grouped by category.
Tips for Users
Suggest to users:
- Use specific keywords for better results
- Try tag names if searching by topic
- Use category names to narrow results
- Combine with
/learn-show --categoryfor focused browsing
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 · 69 lines · 5 tokens per session scan A 080c5646b0ee
learn-search is a command published in the GitHub repository ankushdixit/claude-plugins (3 stars, last pushed 7mo ago), licensed MIT. It adds 5 tokens to every session and 257 once invoked, about $0.0000 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.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
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.