Recon Skills is a pack of security-testing skills covering reconnaissance, web applications, APIs, authentication, vulnerability validation, cloud infrastructure, and reporting. Security professionals use it for authorized assessments of systems they own or have written permission to test. The catalogue entries are individual skills from the pack.
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 uphiago/recon-skills --skill subdomain-enumerationgit clone --depth 1 https://github.com/uphiago/recon-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/skills/uphiago/recon-skills/subdomain-enumeration)<a href="https://agentmods.dev/skills/uphiago/recon-skills/subdomain-enumeration"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/subdomain-enumeration/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/uphiago/recon-skills/subdomain-enumeration"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/subdomain-enumeration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 361 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00019 | $0.04017 |
| Opus 5 | $0.00010 | $0.02008 |
| Sonnet 5 | $0.00004 | $0.00803 |
| Haiku 4.5 | $0.00002 | $0.00402 |
Grade A, and why
subdomain-enumeration scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
compatibility: Requires curl, subfinder, httpx, dnsx, dig, jq How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subdomain Enumeration Skill
Comprehensive subdomain discovery using certificate transparency logs (crt.sh), DNS brute force, and passive sources. The first step in any recon pipeline — you can't attack what you don't know exists. Subdomain enumeration consistently reveals staging environments, internal admin panels, API gateways, and forgotten WordPress installs that are softer targets than the production site.
When to Use
- Starting recon on any target domain.
- Production site is well-secured — find softer entry points.
- After
skill_view(name='wp-mass-recon')— enumerate subdomains for each WordPress target. - Building a complete asset inventory for a target organization.
Prerequisites
curl,httpx,dig,jq,dnsx, andsubfinder.- A DNS brute-force wordlist, supplied by the operator.
- Approval to disclose the domain to third-party passive sources such as crt.sh, crt.name, and subfinder providers.
How to Run
DOMAIN="${1:-example.com}"
OUTPUT_ROOT="${OUTPUT_DIR:-./output}"
OUTDIR="$OUTPUT_ROOT/subdomains/$DOMAIN"
if [[ ! "$DOMAIN" =~ ^[A-Za-z0-9.-]+$ ]]; then
echo "Invalid domain: $DOMAIN" >&2
exit 2
fi
mkdir -p "$OUTDIR"
# Passive: crt.sh (retry: it frequently returns 502 while its database refreshes)
for attempt in 1 2 3; do
curl -fsS --max-time 30 --connect-timeout 10 \
"https://crt.sh/?q=%25.$DOMAIN&output=json" -o "$OUTDIR/crtsh_raw.json" && break
sleep 15
done
jq -r '.[].name_value' "$OUTDIR/crtsh_raw.json" 2>/dev/null \
| sed 's/\*\.//g' \
| sort -u > "$OUTDIR/crtsh.txt"
# If crt.sh stays down, crtsh.txt ends up empty: keep going with crt.name/subfinder.
# crt.name (historical CT data; resolve names before probing)
curl -fsS --max-time 30 --connect-timeout 10 "https://crt.name/v1/search?apex=$DOMAIN" \
| sed 's/\r$//' \
| sed 's/^\*\.//' \
| sort -u > "$OUTDIR/crtname.txt"
# Passive: subfinder
subfinder -d "$DOMAIN" -silent -timeout 30 > "$OUTDIR/subfinder.txt"
# Merge and deduplicate
cat "$OUTDIR/crtsh.txt" "$OUTDIR/crtname.txt" "$OUTDIR/subfinder.txt" \
| grep -E '^[A-Za-z0-9.-]+\.[A-Za-z]{2,}$' \
| sort -u > "$OUTDIR/all_subs.txt"
# Probe live hosts
httpx -silent -l "$OUTDIR/all_subs.txt" -threads 50 -rate-limit 2 \
-status-code -tech-detect -title -o "$OUTDIR/alive.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.
- 7d ago Changed · +58 lines 48d031b6e896
- 11d ago First seen · 327 lines · 19 tokens per session scan A 90b903dda8e7
subdomain-enumeration is a skill published in the GitHub repository uphiago/recon-skills (1,251 stars, last pushed 9d ago), licensed MIT. It adds 19 tokens to every session and 4,017 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
implementing-cloud-dlp-for-data-protection
Implementing Cloud Data Loss Prevention (DLP) using Amazon Macie, Azure Information Protection, and Google Cloud DLP API to discover, classify, and protect sensitive data across cloud storage, databases, and data pipelines.
auditing-gcp-iam-permissions
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
auditing-terraform-infrastructure-for-security
Auditing Terraform infrastructure-as-code for security misconfigurations using Checkov, tfsec, Terrascan, and OPA/Rego policies to detect overly permissive IAM policies, public resource exposure, missing encryption, and insecure defaults before cloud deployment.
detecting-compromised-cloud-credentials
Detecting compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event Threat Detection.
detecting-misconfigured-azure-storage
Detecting misconfigured Azure Storage accounts including publicly accessible blob containers, missing encryption settings, overly permissive SAS tokens, disabled logging, and network access violations using Azure CLI, PowerShell, and Microsoft Defender for Storage.
detecting-s3-data-exfiltration-attempts
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.