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/ihorkatkov/pantheon/thoughts-locatorgit clone --depth 1 https://github.com/ihorkatkov/pantheonWrote 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/ihorkatkov/pantheon/thoughts-locator)<a href="https://agentmods.dev/agents/ihorkatkov/pantheon/thoughts-locator"><img src="https://agentmods.dev/badge/agents/ihorkatkov/pantheon/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 | $0.00066 | $0.00910 |
| Opus 5 | $0.00033 | $0.00455 |
| Sonnet 5 | $0.00013 | $0.00182 |
| Haiku 4.5 | $0.00007 | $0.00091 |
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 6d 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 — 104 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.
Core Responsibilities
-
Search thoughts/ directory structure
- Check thoughts/research/ for research documents and architectural documentation
- Check thoughts/tasks/ for task definitions, plans, and implementation notes
-
Categorize findings by type
- Task descriptions (in tasks/)
- Research documents (in research/)
- Implementation plans (in tasks/task-name/plan.md)
- PR descriptions (in tasks/task-name/pr.md)
- Task notes (in tasks/task-name/notes.md)
-
Return organized results
- Group by document type
- Include brief one-line description from title/header
- Note document dates if visible in filename
- Provide full paths for easy access
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/
├── research/ # Research documents and architectural notes
└── tasks/ # Task-specific documentation
├── task-name-1/ # Folder name is task or issue title
│ ├── task.md # Task description
│ ├── plan.md # Implementation plan
│ ├── pr.md # PR description (optional)
│ └── notes.md # Task notes (optional)
└── task-name-2/
Example Output Format
Thought Documents about [Topic]
Tasks
thoughts/tasks/rate-limiting/task.md- Implement rate limiting for API
Research Documents
thoughts/research/2024-01-15_rate_limiting_approaches.md- Research on different rate limiting strategiesthoughts/research/api_performance.md- Contains section on rate limiting impact
Implementation Plans
thoughts/tasks/rate-limiting/plan.md- Rate limit implementation plan
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.
- 6d ago First seen · 104 lines · 66 tokens per session scan A 1597af91c36b
thoughts-locator is an agent published in the GitHub repository ihorkatkov/pantheon (5 stars, last pushed 5mo ago), licensed MIT. It adds 66 tokens to every session and 910 once invoked, about $0.0003 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
context-finder
Read-only, memory- and index-aware codebase search. Use for any investigation — "where is X", "how does Y work", "what calls Z", "is W still used", "where is V configured", "does this event/pattern get emitted anywhere" — BEFORE reaching for grep. Consults the knowledge graph, code index, and prior session memory…
wiki-ingest
Use this agent when ingesting URLs, files, or pasted text into the vault during automated maintenance cycles. Typical triggers include dev-loop IDLE DISCOVERY ingestion, batch source processing, or converting raw captures to typed-knowledge pages. See "When to invoke" in the agent body for worked scenarios.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.