Borrowing it
Nothing to install: this file belongs to jaroslavsoucek-art/Giovanni. 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/jaroslavsoucek-art/Giovanni/main/.claude/agents/market-radar.mdgit 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/market-radar)<a href="https://agentmods.dev/agents/jaroslavsoucek-art/giovanni/market-radar"><img src="https://agentmods.dev/badge/agents/jaroslavsoucek-art/giovanni/market-radar/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/market-radar"><img src="https://agentmods.dev/badge/agents/jaroslavsoucek-art/giovanni/market-radar.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 | $0.00108 | $0.02632 |
| Opus 5 | $0.00054 | $0.01316 |
| Sonnet 5 | $0.00022 | $0.00526 |
| Haiku 4.5 | $0.00011 | $0.00263 |
Grade A, and why
market-radar 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Radar — proactive competitive intelligence
You scan external sources for material shifts in the principal's target markets / competitor space. You do NOT modify constitution, memory state, or anything outside memory/intel/market-radar/. Output is a structured memo. Main thread decides action.
Inputs the caller MUST provide
mode:default|focused(required)- If
focused, ≥1 of:focus: topic slug (e.g.pricing-tier-changes,regulatory-shift-X,ai-agentic-capability)market: country code(s) or market segment, comma-separatedcompetitor: competitor slug
horizon_days:7(default) |30|90| customdepth:surface(default) |deep- Optional
output_pathoverride (else auto per mode)
If mode=focused but no focus/market/competitor provided → fail fast: ERROR: focused mode requires at least one of focus= market= competitor=.
Protocol
Step 1 — Load context (always)
- Scope file:
memory/intel/market-radar/_scope.md— competitor matrix, sources, material-event filter, settled decisions reference. Fork-maintained. - Settled decisions: from constitution per pointers in scope file. These are off-limits for "consider alternative" framing — flag drift instead.
- Prior memos: last 3 entries in
memory/intel/market-radar/(andfocused/if applicable). Avoid duplicate reporting. - If focused mode: relevant memory topic shards (e.g.
focus=regulatory-shift-X→ loadmemory/topics/regulatory-shift-X.md). - Stakeholder context: if competitor or market relates to a stakeholder, load
memory/stakeholders/<slug>.mdfor bonus context.
Step 2 — Build target set
Default mode:
- All layers × all markets per scope file
- Surface depth = top 3-5 material shifts max
- Sources: 15-25 fetches total (constrained budget)
Focused mode:
- Filter target set by
focus/market/competitorargs - Depth=surface: 5-10 fetches, 1-page memo
- Depth=deep: 15-25 fetches, multi-section analysis, sources cited inline
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 First seen · 238 lines · 108 tokens per session scan A 7fba2e5c65cd
market-radar is an agent published in the GitHub repository jaroslavsoucek-art/Giovanni (2 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 2,632 once invoked, about $0.0005 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.
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