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 skills/anthonysuherli/br8n/explorenpx skills add anthonysuherli/br8n --skill exploregit clone --depth 1 https://github.com/anthonysuherli/br8nWrote 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/anthonysuherli/br8n/explore)<a href="https://agentmods.dev/skills/anthonysuherli/br8n/explore"><img src="https://agentmods.dev/badge/skills/anthonysuherli/br8n/explore.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 | $0.00076 | $0.00478 |
| Opus 5 | $0.00038 | $0.00239 |
| Sonnet 5 | $0.00015 | $0.00096 |
| Haiku 4.5 | $0.00008 | $0.00048 |
Grade A, and why
explore 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
br8n — Explore
Run the exploration pipeline to grow the KB from the web. This is the grow step
that /br8n:search calls conditionally — invoke it directly when you already know
the KB is thin and want to fill it.
Step 0 — Resolve target + tap
Follow ../_shared/preamble-first.md: resolve
project/kb from git, then mcp__plugin_br8n_br8n__br8n_resume(project, kb, query=<the topic>) to confirm the gap is real and to target the prompt at the thin areas
rather than re-fetching what's already known. Show the resume card.
Step 1 — Shape the prompt
Turn the user's topic into a focused exploration prompt. If the resume card showed
partial coverage, narrow the prompt to the missing slice (don't re-explore covered
ground). Pass max_findings only if the user wants to cap breadth; otherwise let
the config default apply.
Step 2 — Run (blocking)
mcp__plugin_br8n_br8n__br8n_explore(project, kb, prompt=<focused prompt>, max_findings?)
This blocks 1–3 minutes (plan→search→crawl→extract→merge). Tell the user it's
running before you call it. On return you get {finding_count, finding_ids}; the
synopsis rebuild is scheduled automatically.
Step 3 — Report + re-ground
State how many findings were persisted. Then re-tap with
mcp__plugin_br8n_br8n__br8n_resume(project, kb, query=<topic>) to show the now-richer card
and answer whatever prompted the explore. The next /br8n:pickup will reflect the
new knowledge.
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 · 42 lines · 76 tokens per session scan A 977f0734b297
explore is a skill published in the GitHub repository anthonysuherli/br8n (1 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 478 once invoked, about $0.0004 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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