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 js-secrets-extractiongit 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/js-secrets-extraction)<a href="https://agentmods.dev/skills/uphiago/recon-skills/js-secrets-extraction"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/js-secrets-extraction/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/js-secrets-extraction"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/js-secrets-extraction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.03235 |
| Opus 5 | $0.00013 | $0.01618 |
| Sonnet 5 | $0.00005 | $0.00647 |
| Haiku 4.5 | $0.00003 | $0.00324 |
Grade A, and why
js-secrets-extraction scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --max-time 30 --connect-timeout 10 -s "https://target.com" > index.html How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JS Bundle & Source Map Analysis -- Secret Extraction
When to Use
- ALWAYS after initial web enumeration
- When you find modern SPA (React, Angular, Vue)
- When target uses Firebase, Supabase, Auth0
- Higher yield than directory scanning on many targets
Why Analyze JS Bundles
Modern JavaScript bundles (Webpack, Vite, esbuild) often contain:
- Hardcoded API keys and tokens
- Internal API URLs
- Firebase, Auth0, Supabase configurations
- Environment variables (VITE_, REACT_APP_, NEXT_PUBLIC_*)
- Internal routes
Bundle Download and Analysis
curl --max-time 30 --connect-timeout 10 -s "https://target.com" > index.html
grep -Eo 'src="[^"]*\.js"' index.html | cut -d'"' -f2 | while read js; do
curl --max-time 30 --connect-timeout 10 -s "https://target.com$js" > "$(basename $js)"
done
# Search for secrets in bundles
grep -rEn "(apiKey|api_key|API_KEY|token|secret|password|clientId|client_id|auth0|firebase|supabase)[\"'\"]?[[:space:]]*[:=][[:space:]]*[\"'\'][^\"'\']{8,}" *.js
Source Map Reconstruction
curl --max-time 30 --connect-timeout 10 -sI "https://target.com/assets/index-abc123.js.map"
curl --max-time 30 --connect-timeout 10 -sI "https://target.com/static/js/main.12345.js.map"
# If HTTP 200, use for reconstruction:
# https://unminify.com
# https://source-map-visualization.netlify.app
Real-world case: Enterprise Angular SPA admin, 2 JS bundles (250KB each) exposed:
- Internal API URL (apiv3.empresa.com.br)
- Firebase API key (AIzaSy...2GXA)
- Encryption keys (AD5oDjsJaTJOzLe1Llj9mz)
- Cloudinary upload endpoint
Port-Specific URL Analysis
Modern deployments often serve the main SPA on port 443 and admin/API on separate ports (8080, 8081, 8084). Always check JS bundles on ALL discovered ports:
# Check source maps on every open port
for port in 443 8080 8081 8084; do
curl --max-time 30 --connect-timeout 10 -sI "https://target.com:$port/static/js/main.*.js.map" 2>/dev/null
curl --max-time 30 --connect-timeout 10 -sI "https://target.com:$port/assets/index-*.js.map" 2>/dev/null
done
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 281 lines · 26 tokens per session scan A 48c36ca6b166
js-secrets-extraction is a skill published in the GitHub repository uphiago/recon-skills (1,247 stars, last pushed 7d ago), licensed MIT. It adds 26 tokens to every session and 3,235 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
api-authentication-bypass
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api-authentication-bypass
Test APIs for authentication and authorization bypass vulnerabilities including JWT manipulation, OAuth2 flaws, API key leakage, broken authentication, and token forgery. Use this skill when assessing REST/GraphQL APIs for access control weaknesses, session management flaws, or credential handling issues. Covers JWT…
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testing-api-authentication-weaknesses
Tests API authentication mechanisms for weaknesses including broken token validation, missing authentication on endpoints, weak password policies, credential stuffing susceptibility, token leakage in URLs or logs, and session management flaws. The tester evaluates JWT implementation, API key handling, OAuth flows, and…
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.
performing-jwt-none-algorithm-attack
Execute and test the JWT none algorithm attack to bypass signature verification by manipulating the alg header field in JSON Web Tokens.