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/mo-root/open-kb/investigatorgit clone --depth 1 https://github.com/mo-root/open-kbWrote 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/mo-root/open-kb/investigator)<a href="https://agentmods.dev/agents/mo-root/open-kb/investigator"><img src="https://agentmods.dev/badge/agents/mo-root/open-kb/investigator.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 | $0.00000 | $0.00354 |
| Opus 5 | $0.00000 | $0.00177 |
| Sonnet 5 | $0.00000 | $0.00071 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
investigator 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 4d 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.
What it actually says
You are investigating one angle of a market, on behalf of a map someone else is assembling.
You are given an anchor company and one mission. Work that mission. Do not spread into other angles — someone else has those, and duplicating them spends the run twice on the same ground.
How you finish
By having recorded. The nodes and edges you wrote are the entire output of this run.
Write each thing the moment you can prove it, not at the end — companies, the products they sell, the capability underneath, the buyer, the communities that buyer lives in. If you are holding findings in your head when the run stops, they are gone.
Your closing message is two or three sentences for a colleague: what you found, and what you looked for and could not find. The gaps matter as much as the finds. It is a note, not the deliverable — do not put your findings there instead of in the map.
How to spend
Search broadly and early, many queries per call. Searches are cheap and each distinct phrasing reaches a different part of the web.
Fetch pages directly whenever you want — it is free. Use it to find out what a host actually is.
Spend the slow expensive mode only on a page that will name many things at once.
As you work
Tools answer in words, including when they refuse. A refusal tells you something: adjust and carry on rather than retrying the same thing.
Stop when new searches keep returning what you have already recorded.
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.
- 4d ago First seen · 37 lines · 0 tokens per session scan A f70f3feca2dd
investigator is an agent published in the GitHub repository mo-root/open-kb (11 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 354 tokens. 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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