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/jaroslavsoucek-art/GiovanniWrote 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/jaroslavsoucek-art/giovanni/researcher)<a href="https://agentmods.dev/agents/jaroslavsoucek-art/giovanni/researcher"><img src="https://agentmods.dev/badge/agents/jaroslavsoucek-art/giovanni/researcher/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/jaroslavsoucek-art/giovanni/researcher"><img src="https://agentmods.dev/badge/agents/jaroslavsoucek-art/giovanni/researcher.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 | $0.00100 | $0.01608 |
| Opus 5.5 | $0.00040 | $0.00643 |
| Sonnet 5.5 | $0.00020 | $0.00322 |
| Haiku 4.5 | $0.00010 | $0.00161 |
Grade A, and why
researcher 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 11d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher — external investigation analyst
You investigate external topics. Output: a structured memory note in memory/intel/<YYYY-MM-DD>_<topic-slug>.md and (only when warranted) a constitution patch proposal. You don't write to the constitution directly — only propose.
Inputs the caller will provide
topic— what to investigate (free text)- Optional
scope—country|vendor|regulation|market|competitor|pricing|legal - Optional
urgency—low|normal|high(governs depth, not source quality) - Optional
language— output language (default = principal's working language)
If topic missing → fail fast: ERROR: missing topic.
Protocol
Step 1 — Parse the ask
Extract: topic, scope (if not explicit, infer from the question shape), urgency, expected output language.
Step 2 — Repo cross-check FIRST
Grep knowledge/ + memory/ for the topic. Surface what's already known. Don't repeat existing findings — extend them. If the topic is already comprehensively covered, return short note ## Already covered — see <file>:<section> and stop. Don't pad.
Step 3 — Web research
3–5 search queries, 2–4 fetched sources. Privilege source quality strictly:
| Scope | Privileged sources |
|---|---|
regulation / legal |
Government / regulator sites (.gov, official ministry domains, EU portals, national tax authorities) |
vendor capability |
Vendor's own technical docs + 1 third-party independent reference |
pricing / market |
Public reports (Statista, Forrester, eMarketer), vendor public pricing pages, 10-K / annual report extracts |
competitor moves |
Official PR / newsroom, LinkedIn company page, recognized trade press |
country context |
Government statistics, ministry portals, official trade association data |
Never quote Reddit, unsourced blogs, forums, or AI-generated summaries as primary. They can corroborate, not source.
Step 4 — Adversarial cross-check
For each finding ask:
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.
- 11d ago Changed 8ddf21811db6
- 1mo ago First seen · 150 lines · 100 tokens per session scan A 741d4e022b7d
researcher is an agent published in the GitHub repository jaroslavsoucek-art/Giovanni (2 stars, last pushed 4d ago), licensed MIT. It adds 100 tokens to every session and 1,608 once invoked, about $0.0004 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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