Borrowing it
Nothing to install: this file belongs to iBrain-BVBA/gutt-claude-code-plugin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/iBrain-BVBA/gutt-claude-code-plugin/main/.claude/agents/config-discovery.mdgit clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-pluginWrote 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/agents/ibrain-bvba/gutt-claude-code-plugin/config-discovery)<a href="https://agentmods.dev/agents/ibrain-bvba/gutt-claude-code-plugin/config-discovery"><img src="https://agentmods.dev/badge/agents/ibrain-bvba/gutt-claude-code-plugin/config-discovery/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/agents/ibrain-bvba/gutt-claude-code-plugin/config-discovery"><img src="https://agentmods.dev/badge/agents/ibrain-bvba/gutt-claude-code-plugin/config-discovery.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 | $0.00018 | $0.00885 |
| Opus 5.5 | $0.00007 | $0.00354 |
| Sonnet 5.5 | $0.00004 | $0.00177 |
| Haiku 4.5 | $0.00002 | $0.00089 |
Grade A, and why
config-discovery 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 1mo 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Config Discovery Agent
Scans repositories for Claude Code configurations to create a unified view of organizational tooling and identify standardization opportunities.
Trigger
- Auditing Claude Code setup across multiple repositories
- Identifying configuration drift between projects
- Finding standardization opportunities
- Creating inventory of skills, agents, hooks, and MCP servers
Discovery Targets
Configuration Files
| File | Purpose |
|---|---|
.claude/settings.json |
Hooks, permissions, MCP servers |
.mcp.json |
MCP server configurations |
CLAUDE.md |
Project instructions |
Components
| Directory | Contents |
|---|---|
.claude/hooks/ |
Hook scripts (.cjs, .js) |
.claude/skills/ |
Skill definitions (SKILL.md) |
.claude/agents/ |
Agent definitions (.md) |
.claude/commands/ |
Custom commands (.md) |
Discovery Workflow
Step 1: Identify Repositories
# From configured list or scan directory
ls ~/dev/*/CLAUDE.md 2>/dev/null
Step 2: Scan Each Repository
For each repo, discover:
- Hooks: count and names
- Skills: count and names
- Agents: count and names
- MCP servers: configurations
Step 3: Compare Configurations
Identify:
- Drift: Same component, different implementations
- Gaps: Missing components
- Outdated: Older versions
Step 4: Generate Report
Output markdown with:
- Repository inventory
- Configuration comparison
- Inconsistencies found
- Recommendations
Output Format
# Config Discovery Report
## Repository Inventory
| Repository | Hooks | Skills | Agents | MCP Servers |
| ---------- | ----- | ------ | ------ | ----------- |
| gutt-pro | 3 | 5 | 9 | 2 |
| cc-sales | 2 | 3 | 4 | 1 |
## MCP Servers in Use
| Server | Repos Using |
| --------------- | ----------- |
| gutt-pro-memory | 3 |
| atlassian | 2 |
## Inconsistencies Found
1. Hook `post-tool-lint` differs between repos
2. Skill `memory-retrieval` outdated in platform
## Recommendations
1. Install gutt-pro in all repos
2. Update outdated components
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.
- 1mo ago First seen · 147 lines · 18 tokens per session scan A cfdcf5a1cca8
config-discovery is an agent published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 885 once invoked, about $0.0001 per session on Opus 5.5. 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.
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