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/crypticswarm/swarmforge/agents-md-reconnaissancegit clone --depth 1 https://github.com/CrypticSwarm/SwarmforgeWrote 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/crypticswarm/swarmforge/agents-md-reconnaissance)<a href="https://agentmods.dev/commands/crypticswarm/swarmforge/agents-md-reconnaissance"><img src="https://agentmods.dev/badge/commands/crypticswarm/swarmforge/agents-md-reconnaissance.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 | $0.00015 | $0.00330 |
| Opus 5 | $0.00008 | $0.00165 |
| Sonnet 5 | $0.00003 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
agents-md-reconnaissance 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
Activate the agents-md-reconnaissance skill before taking any other action.
Request: $ARGUMENTS
Expected arguments:
- Target directory path (e.g.,
dashboard/backend,delivery/rtb_frontend) - Optional mode:
create(default),audit, orupdate
If the target directory is missing or ambiguous, ask and stop.
Modes:
create-- Full 4-phase workflow (explore, stress-test, refine, review). Fails if AGENTS.md already exists at the target; suggestupdateinstead.update-- Phases 2-4 only (stress-test existing AGENTS.md, refine, review). Fails if no AGENTS.md exists; suggestcreateinstead.audit-- Phase 4 only (review pass on existing AGENTS.md). Fails if no AGENTS.md exists.
Current working tree:
!git status --short
Target directory contents:
!ls $1 2>/dev/null || echo "Directory not found"
Existing AGENTS.md at target (if any):
!cat $1/AGENTS.md 2>/dev/null || echo "No AGENTS.md found"
Recent git history for target:
!git log --oneline -20 -- $1/ 2>/dev/null || echo "No git history"
Validate inputs, then execute the appropriate phases per the skill workflow.
Place the resulting AGENTS.md at <target-directory>/AGENTS.md.
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 · 35 lines · 15 tokens per session scan A 7ee014b1a688
agents-md-reconnaissance is a command published in the GitHub repository CrypticSwarm/Swarmforge (2 stars, last pushed 5d ago), licensed MIT. It adds 15 tokens to every session and 330 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.
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