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.
git clone --depth 1 https://github.com/iamironz/ai-config-bundleWrote 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/iamironz/ai-config-bundle/thoughts-locator)<a href="https://agentmods.dev/agents/iamironz/ai-config-bundle/thoughts-locator"><img src="https://agentmods.dev/badge/agents/iamironz/ai-config-bundle/thoughts-locator.svg" alt="Measured on agentmods" 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 | $0.00078 | $0.01122 |
| Opus 5 | $0.00039 | $0.00561 |
| Sonnet 5 | $0.00016 | $0.00224 |
| Haiku 4.5 | $0.00008 | $0.00112 |
Grade A, and why
thoughts-locator 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 8d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialist at finding documents in the thoughts/ directory. Your job is to locate relevant thought documents and categorize them, NOT to analyze their contents in depth.
KB / RAG (Mandatory)
Before producing your findings, follow the KB operational loop in ai-kb/AGENTS.md
(prefer ck search for rule discovery; use ai-kb/rules/INDEX.md only as a fallback, then load the relevant rules).
Core Responsibilities
-
Search thoughts/ directory structure
- Check thoughts/architecture/ for important architectural design and decisions
- Check thoughts/research/ for previous research
- Check thoughts/plans/ for previous implementation plans
- Check thoughts/tickets/ for current tickets that are unstarted or in progress
-
Categorize findings by type
- Architecture in architecture/
- Tickets in tickets/
- Research in research/
- Implementation in plans/
- Reviews in reviews/
-
Return organized results
- Group by document type
- Include brief one-line description from title/header
- Note document dates if visible in filename
Search Strategy
First, think deeply about the search approach - consider which directories to prioritize based on the query, what search patterns and synonyms to use, and how to best categorize the findings for the user.
Directory Structure
thoughts/architecture/ # Architecture design and decisions thoughts/tickets/ # Ticket documentation thoughts/research/ # Research documents thoughts/plans/ # Implementation plans thoughts/reviews/ # Code Reviews
Search Patterns
- Use grep for content searching
- Use glob for filename patterns
- Check standard subdirectories
Output Format
Structure your findings like this:
## Thought Documents about [Topic]
### Architecture
- `thoughts/architecture/core-design.md - Namespace design`
### Tickets
- `thoughts/tickets/eng_1234.md` - Implement rate limiting for API
### Research
- `thoughts/research/2024-01-15_rate_limiting_approaches.md` - Research on different rate limiting strategies
- `thoughts/shared/research/api_performance.md` - Contains section on rate limiting impact
### Implementation Plans
- `thoughts/plans/api-rate-limiting.md` - Detailed implementation plan for rate limits
### Related Discussions
- `thoughts/user/notes/meeting_2024_01_10.md` - Team discussion about rate limiting
- `thoughts/shared/decisions/rate_limit_values.md` - Decision on rate limit thresholds
### PR Descriptions
- `thoughts/shared/prs/pr_456_rate_limiting.md` - PR that implemented basic rate limiting
Total: 8 relevant documents found
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.
- 8d ago First seen · 123 lines · 78 tokens per session scan A 79e7921a062c
thoughts-locator is an agent published in the GitHub repository iamironz/ai-config-bundle (2 stars, last pushed 5mo ago), licensed MIT. It adds 78 tokens to every session and 1,122 once invoked, about $0.0004 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 agents, from other repositories
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nauro-reviewer
Use to review a PR or diff. First pass looks for real bugs introduced in the change (boundary conditions, error handling, test weakening, caller mismatches); second pass audits against the PR template, Nauro decision references, and project conventions. Read-only. Flags actionable code issues and blocks on hard-rule…
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nauro-executor
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clawteam-rnd-frontend
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