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 commands/ainative-build/skills/recongit clone --depth 1 https://github.com/ainative-build/skillsWrote 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/commands/ainative-build/skills/recon)<a href="https://agentmods.dev/commands/ainative-build/skills/recon"><img src="https://agentmods.dev/badge/commands/ainative-build/skills/recon.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 | $0.00021 | $0.00164 |
| Opus 5 | $0.00010 | $0.00082 |
| Sonnet 5 | $0.00004 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
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 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
/aif:recon
Run the aif-recon skill on the target described by $ARGUMENTS.
Read and follow ${CLAUDE_PLUGIN_ROOT}/skills/engineering/aif-recon/SKILL.md in full, then execute
its workflow against $ARGUMENTS: frame the target, wide-sweep with Glob/Grep, divide the tree
across parallel read-only subagents (or one sequential sweep), confirm true owners, trace dependents
and tests, discover the governing spec when --spec is given, and return one concise context report.
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 · 14 lines · 21 tokens per session scan A eccfaaec96b3
recon is a command published in the GitHub repository ainative-build/skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 164 once invoked, about $0.0001 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.
Other commands, from other repositories
webperf
Run a web performance audit via the web-performance-auditor persona.
spec
Start spec-driven development — write a structured specification before writing code.
install
Add skills from GitHub repos, git URLs, or local paths.
audit-rules
Browse, enable, disable, and customize audit rules.
init
First-time setup. Auto-detects installed AI CLIs and configures targets.
search
Discover and install skills from GitHub repositories.