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 Pusparaj99op/blackarch-AI --skill red-team-recongit clone --depth 1 https://github.com/Pusparaj99op/blackarch-AIWrote 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/pusparaj99op/blackarch-ai/red-team-recon)<a href="https://agentmods.dev/skills/pusparaj99op/blackarch-ai/red-team-recon"><img src="https://agentmods.dev/badge/skills/pusparaj99op/blackarch-ai/red-team-recon/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/skills/pusparaj99op/blackarch-ai/red-team-recon"><img src="https://agentmods.dev/badge/skills/pusparaj99op/blackarch-ai/red-team-recon.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 | $0.00032 | $0.00250 |
| Opus 5 | $0.00016 | $0.00125 |
| Sonnet 5 | $0.00006 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
red-team-recon 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.
What it actually says
Red-team recon
Use this when asked to do initial recon / a port scan against a target.
- Call
check_scopewith the target. If it comes back not authorized, stop and tell the user to add the target toscope.yaml(withauthorized_by,authorization_ref,expires) before proceeding. Do not attempt the scan anyway. - If authorized, call
nmap_scanwithprofile="quick"first. - Summarize open ports and detected services in plain language.
- If web ports (80, 443, 8080, 8443) are open, suggest following up with the
red-team-web-enumskill. - Write a short findings summary to
reports/<target>-recon-<date>.md(thereports/directory is gitignored — never commit scan output).
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 · 16 lines · 32 tokens per session scan A 981780aaf645
red-team-recon is a skill published in the GitHub repository Pusparaj99op/blackarch-AI (0 stars, last pushed 25d ago), licensed MIT. It adds 32 tokens to every session and 250 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 2026-08-31.
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