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 skills add YAN-XBT/HOODRADAR --skill skillgit clone --depth 1 https://github.com/YAN-XBT/HOODRADARWrote 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/skills/yan-xbt/hoodradar/skill)<a href="https://agentmods.dev/skills/yan-xbt/hoodradar/skill"><img src="https://agentmods.dev/badge/skills/yan-xbt/hoodradar/skill.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 | $0.00033 | $0.00286 |
| Opus 5 | $0.00016 | $0.00143 |
| Sonnet 5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
hoodradar 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 3d 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
hoodradar skill
Use when the user wants Robinhood Chain research: dumps on trend, high-PnL wallet buys, or Hermes setup of this desk.
Prerequisites
RH_DESK_ROOTpoints at the hoodradar clonesource $RH_DESK_ROOT/tools/env.sh- Birdeye in
.env; GMGN viagmgn-cli config --check
Run buy-the-dip
python3 "$RH_DESK_ROOT/scripts/buy_the_dip.py" --interval 1h --top 10 --min-drop 20 --min-mcap 50000 --min-liq 15000
Run smart buys
python3 "$RH_DESK_ROOT/scripts/rh_smart_buys.py" --minutes 15 --max-mcap 200000 --top 12
Short alert
python3 "$RH_DESK_ROOT/scripts/format_short_alert.py" "$RH_DESK_ROOT/cron/cache/buy_the_dip.json"
Rules
- RH only; full CAs; no key dumps; DYOR footer; honeypots not recommended
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.
- 3d ago First seen · 32 lines · 33 tokens per session scan A 111c14cd2f4d
hoodradar is a skill published in the GitHub repository YAN-XBT/HOODRADAR (24 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 286 once invoked, about $0.0002 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 2026-09-04.
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