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/marcosd4h/deepextractruntime/searchgit clone --depth 1 https://github.com/marcosd4h/DeepExtractRuntimeWhat 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 | $0.00000 | $0.01434 |
| Opus 5 | $0.00000 | $0.00717 |
| Sonnet 5 | $0.00000 | $0.00287 |
| Haiku 4.5 | $0.00000 | $0.00143 |
Grade A, and why
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 3d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search
Overview
Search across all analysis dimensions in one call -- function names, signatures, string literals, API calls, dangerous APIs, class names, and exports. Wraps unified_search.py to find everything related to a search term without needing to know which dimension it belongs to.
Supports three matching modes:
- substring (default) -- case-insensitive substring matching
- regex -- Python regex via
re.search() - fuzzy -- typo-tolerant matching via
difflib.SequenceMatcher
Results are ranked by relevance score (match quality + context signals like application vs library code, decompiled availability, export status, dangerous API presence, and multi-dimension hits).
The text after /search specifies the search term and optionally the module, mode, and dimensions:
/search CreateProcess-- search all modules, all dimensions (substring)/search appinfo.dll CreateProcess-- search specific module/search appinfo.dll --dimensions name,api CreateProcess-- restrict to name and API dimensions/search --all registry-- explicitly search all modules/search appinfo.dll --regex "^Ai.*Process$"-- regex mode/search --fuzzy CreateProces-- fuzzy mode (typo-tolerant)/search appinfo.dll CreateProcess --sort score-- explicitly sort by relevance
If no search term is provided, ask the user.
IMPORTANT: Execution Model
This is an execute-immediately command. Do NOT present anything for user confirmation. Run and write the final search results straight to the chat as your response. The user expects to see the completed output.
Execution Context
IMPORTANT: Any inline Python that imports
helpers.*must run withcd <workspace>/.claude(so the.claude/directory is onsys.path), not from the workspace root. Script invocations likepython .claude/skills/.../script.pycan be run from the workspace root because those scripts manage their own path setup.
Steps
Step 0: Preflight Validation
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.
- 3d ago First seen · 114 lines · 0 tokens per session scan A cd571877a8a8
search is a command published in the GitHub repository marcosd4h/DeepExtractRuntime (20 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,434 tokens. 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
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.