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/stefan-jansen/claude-code-toolkit/indexgit clone --depth 1 https://github.com/stefan-jansen/claude-code-toolkitWhat 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 | $0.00008 | $0.00388 |
| Opus 5 | $0.00004 | $0.00194 |
| Sonnet 5 | $0.00002 | $0.00078 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
index 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 yesterday.
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
Index Project
Create persistent project understanding that survives sessions.
Input: $ARGUMENTS
Modes
- (no args): Full project scan
--update: Incremental changes only--refresh: Complete regeneration"focus area": Targeted analysis
Process
-
Analyze Structure
- Detect language (Python/JS/TS/Go)
- Identify frameworks (Django, React, FastAPI, etc.)
- Map directories: src/, lib/, tests/, docs/
- Find entry points: main.py, index.js, app.py
-
Generate PROJECT_MAP.md
# Project Map: [Name] ## Quick Overview - Type: [web app/library/service] - Language: [primary] - Frameworks: [detected] ## Directory Structure - `src/` - Main application - `tests/` - Test files ## Key Files - `main.py` - Entry point - `config.yaml` - Configuration ## Patterns - Architecture: [pattern] - Testing: [approach] -
Auto-import to CLAUDE.md
- Add
@.claude/PROJECT_MAP.mdimport - Create CLAUDE.md if doesn't exist
- Add
Output
.claude/PROJECT_MAP.md- Project understanding- CLAUDE.md updated with import
Benefits
/analyzehas persistent context/explorestarts with project knowledge- New sessions understand codebase immediately
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.
- yesterday First seen · 64 lines · 8 tokens per session scan A 1031a6b719a3
index is a command published in the GitHub repository stefan-jansen/claude-code-toolkit (85 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 388 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 2026-08-30.
Other commands, from other repositories
enrich
Enrich project memory by mining 100 recently merged PRs: extracts decisions, conventions, gotchas, and architectural facts from PR discussions, review comments, and PR bodies.
remember
Save something to agent memory - picks project or user scope automatically from context.
disambiguate-plan
Thorough collaborative planning with iterative disambiguation - resolves all ambiguity before planning.
pr-review
Review a GitHub pull request: analyzes changed files to select relevant reviewers, loads project and user memory, runs reviewers in parallel, lets the user pick which findings to post, then submits the review on behalf of the user via gh CLI.
dataviz
Define chart types, color encoding, and data display conventions.
ship
Pre-launch gate — six-domain checklist before any production deployment.