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.
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-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/commands/adriannoes/awesome-agentic-ai/recon)<a href="https://agentmods.dev/commands/adriannoes/awesome-agentic-ai/recon"><img src="https://agentmods.dev/badge/commands/adriannoes/awesome-agentic-ai/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/commands/adriannoes/awesome-agentic-ai/recon"><img src="https://agentmods.dev/badge/commands/adriannoes/awesome-agentic-ai/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 | $0.00062 | $0.01169 |
| Opus 5 | $0.00031 | $0.00584 |
| Sonnet 5 | $0.00012 | $0.00234 |
| Haiku 4.5 | $0.00006 | $0.00117 |
Grade A, and why
recon scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://dns.projectdiscovery.io/dns/$TARGET/subdomains" \ This is a copy
91% identical to recon — 195 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/recon
Run the full recon pipeline on a target and produce a prioritized attack surface.
What This Does
- Enumerates subdomains (Chaos API + subfinder + assetfinder)
- Resolves DNS and finds live hosts (dnsx + httpx with status/title/tech)
- Crawls URLs (katana deep crawl + waybackurls + gau historical)
- Classifies URLs by bug class (gf patterns)
- Runs nuclei for known CVEs and misconfigs
- Outputs prioritized attack surface summary
Usage
/recon target.com
Or with specific focus:
/recon target.com --focus api
/recon target.com --focus auth
/recon target.com --fast (skip historical URLs)
Steps
Step 1: Subdomain Enumeration
TARGET="$1"
mkdir -p recon/$TARGET
# Chaos API (ProjectDiscovery — most comprehensive)
curl -s "https://dns.projectdiscovery.io/dns/$TARGET/subdomains" \
-H "Authorization: $CHAOS_API_KEY" \
| jq -r '.[]' > recon/$TARGET/subdomains.txt
# subfinder + assetfinder
subfinder -d $TARGET -silent | anew recon/$TARGET/subdomains.txt
assetfinder --subs-only $TARGET | anew recon/$TARGET/subdomains.txt
echo "[+] Subdomains: $(wc -l < recon/$TARGET/subdomains.txt)"
Step 2: Live Host Discovery
# DNS resolve + HTTP probe with tech detection
cat recon/$TARGET/subdomains.txt \
| dnsx -silent \
| httpx -silent -status-code -title -tech-detect \
| tee recon/$TARGET/live-hosts.txt
echo "[+] Live hosts: $(wc -l < recon/$TARGET/live-hosts.txt)"
Step 3: URL Crawl
# Active crawl
cat recon/$TARGET/live-hosts.txt | awk '{print $1}' \
| katana -d 3 -jc -kf all -silent \
| anew recon/$TARGET/urls.txt
# Historical URLs
echo $TARGET | waybackurls | anew recon/$TARGET/urls.txt
gau $TARGET --subs | anew recon/$TARGET/urls.txt
echo "[+] Total URLs: $(wc -l < recon/$TARGET/urls.txt)"
Step 4: Classify URLs
# Bug class classification
cat recon/$TARGET/urls.txt | gf xss > recon/$TARGET/xss-candidates.txt
cat recon/$TARGET/urls.txt | gf ssrf > recon/$TARGET/ssrf-candidates.txt
cat recon/$TARGET/urls.txt | gf idor > recon/$TARGET/idor-candidates.txt
cat recon/$TARGET/urls.txt | gf sqli > recon/$TARGET/sqli-candidates.txt
cat recon/$TARGET/urls.txt | gf redirect > recon/$TARGET/redirect-candidates.txt
cat recon/$TARGET/urls.txt | gf lfi > recon/$TARGET/lfi-candidates.txt
# API endpoints
cat recon/$TARGET/urls.txt | grep -E "/api/|/v1/|/v2/|/graphql|/rest/" \
> recon/$TARGET/api-endpoints.txt
echo "[+] IDOR candidates: $(wc -l < recon/$TARGET/idor-candidates.txt)"
echo "[+] SSRF candidates: $(wc -l < recon/$TARGET/ssrf-candidates.txt)"
echo "[+] API endpoints: $(wc -l < recon/$TARGET/api-endpoints.txt)"
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.
- 6d ago First seen · 140 lines · 0 tokens per session scan A a0f33fba2a60
recon is a command published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 11d ago), licensed MIT. It adds 62 tokens to every session and 1,169 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to recon, differing in 195 lines, and is treated as a copy.
Other commands, from other repositories
design-onboarding
Design a first-run experience end to end — activation path, progressive disclosure, and time to first value.
assistant-auto
Orchestrator in automatic mode. Choose the workflow that semantically fits based on the request + the injected repo context, then execute immediately via Skill.
growth-email
Create transactional and marketing email templates.
amby.clarify
Resolve the open [NEEDS CLARIFICATION] markers in a feature spec.
aw-upgrade
Upgrade gh-aw extension, recompile and validate all workflows, and open a PR with changes.
review
Conduct a five-axis code review — correctness, readability, architecture, security, performance.