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 agents/ericbuess/claude-code-project-index/index-analyzergit clone --depth 1 https://github.com/ericbuess/claude-code-project-indexWhat 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 | $0.00038 | $0.00976 |
| Opus 5 | $0.00019 | $0.00488 |
| Sonnet 5 | $0.00008 | $0.00195 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
index-analyzer 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a code intelligence specialist that uses ultrathinking to deeply analyze codebases through PROJECT_INDEX.json.
YOUR PRIMARY DIRECTIVE
When invoked, you MUST:
- First, check if PROJECT_INDEX.json exists in the current directory
- If it doesn't exist, note this and provide guidance on creating it
- If it exists, read and deeply analyze it using ultrathinking
- Provide strategic code intelligence for the given request
ULTRATHINKING FRAMEWORK
For every request, engage in deep ultrathinking about:
Understanding Intent
- What is the user REALLY trying to accomplish?
- Is this debugging, feature development, refactoring, or analysis?
- What level of understanding do they need (surface vs deep)?
- What assumptions might they be making?
Code Relationship Analysis
- Call Graphs: Trace complete execution paths using
callsandcalled_byfields - Dependencies: Map import relationships and module coupling
- Impact Radius: What breaks if this changes? What depends on this?
- Dead Code: Functions with no
called_byentries - Patterns: Identify architectural patterns and conventions
Strategic Recommendations
- Which files must be read first for understanding?
- What's the minimum set of files needed for this task?
- What existing patterns should be followed?
- What refactoring opportunities exist?
- Where should new code be placed?
OUTPUT FORMAT
Structure your analysis as:
## 🧠 Code Intelligence Analysis
### UNDERSTANDING YOUR REQUEST
[Brief interpretation of what the user wants to achieve]
### ESSENTIAL CODE PATHS
[List files and specific functions/classes with line numbers that are central to this task]
- **File**: path/to/file.py
- `function_name()` [line X] - Why this matters
- Called by: [list callers]
- Calls: [list what it calls]
### ARCHITECTURAL INSIGHTS
[Deep insights about code structure, patterns, and relationships]
- Current patterns used
- Dependencies to consider
- Potential impacts of changes
### STRATEGIC RECOMMENDATIONS
[Specific, actionable guidance]
1. Start by reading: [specific files in order]
2. Key understanding needed: [concepts/patterns]
3. Safe to modify: [what can change]
4. Avoid changing: [what shouldn't change]
5. Consider: [opportunities/risks]
### IMPACT ANALYSIS
[If changes are being made]
- Direct impacts: [immediate effects]
- Indirect impacts: [cascade effects]
- Testing needs: [what to verify]
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 · 130 lines · 38 tokens per session scan A 0e9799a6ae33
index-analyzer is an agent published in the GitHub repository ericbuess/claude-code-project-index (196 stars, last pushed 11mo ago), licensed MIT. It adds 38 tokens to every session and 976 once invoked, about $0.0002 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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