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 hunt-fastapigit 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/hunt-fastapi)<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-fastapi"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-fastapi/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/hunt-fastapi"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-fastapi.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 61 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 | $0.00026 | $0.01809 |
| Opus 5.5 | $0.00010 | $0.00724 |
| Sonnet 5.5 | $0.00005 | $0.00362 |
| Haiku 4.5 | $0.00003 | $0.00181 |
Grade A, and why
hunt-fastapi 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 2mo 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, python3 How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Security Hunting
Hunt FastAPI-specific vulnerabilities in dependency injection authorization gaps, Pydantic model coercion and extra field exploitation, OpenAPI schema mining for hidden endpoints, and ASGI middleware bypasses. FastAPI's design — dependency injection for auth, Pydantic for validation, OpenAPI auto-generation — creates unique attack surface distinct from Flask or Django.
When to Use
- Target uses FastAPI (indicated by
/docs,/redoc,/openapi.json, orserver: uvicorn). - OpenAPI schema is publicly accessible.
- API uses dependency injection (
Depends) for authorization. - WebSocket endpoints exist alongside REST API.
- Application uses Pydantic v1 or v2 for request validation.
Quick Detection
# FastAPI fingerprinting
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/openapi.json" | jq '.info.title' 2>/dev/null
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/docs" -w "%{http_code}\n" -o /dev/null
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/redoc" -w "%{http_code}\n" -o /dev/null
Procedure
Phase 1 — OpenAPI Schema Mining
# Download full schema for endpoint discovery
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/openapi.json" | jq '.paths | keys[]'
# Find hidden endpoints not in docs
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/openapi.json" | jq '.paths | to_entries[] | select(.value.get != null and .value.get.security == []) | .key'
# Discover internal endpoints via path parameter fuzzing
ffuf -u "https://target.com/api/FUZZ" \
-w /path/to/wordlist.txt \
-mc 200,401,403 \
-H "Accept: application/json"
Phase 2 — Dependency Injection Authorization Gaps
# Depends vs Security — check if auth is actually enforced
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/api/admin/users" # no auth
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/api/admin/users" \
-H "Authorization: Bearer INVALID_TOKEN" # invalid auth
# Dependency override in path operations
# Some endpoints may inherit Depends from router but override with None
for method in GET POST PUT PATCH DELETE; do
curl --max-time 30 --connect-timeout 10 -sk -X "$method" "https://target.com/api/users/1" \
-w "$method — %{http_code}\n" -o /dev/null
done
# Background tasks added via BackgroundTasks may skip auth
curl --max-time 30 --connect-timeout 10 -sk -X POST "https://target.com/api/orders" \
-H "Content-Type: application/json" \
-d '{"user_id":"VICTIM_ID","product":"test"}'
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.
- 2mo ago First seen · 163 lines · 26 tokens per session scan A 79d7718194f3
hunt-fastapi is a skill published in the GitHub repository uphiago/recon-skills (1,324 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 1,809 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
hunt-fastapi compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hunt-fastapiuphiago/recon-skills | Skill | 1.3k | 2mo ago | MIT | A | 26 | Claude Code, Codex |
| fastapi-docspledgeandgrow/pledge-skills | Skill | 10 | 3mo ago | MIT | A | 36 | Claude Code, Codex |
| datamodel-code-generatorkoxudaxi/datamodel-code-generator | Skill | 4.0k | 5d ago | MIT | A | 147 | Claude Code, Codex |
| fastapi-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 49 | Claude Code |
| fastapialivirgo/Major-AI-Skills | Skill | 2 | yesterday | MIT | A | 52 | Claude Code |
| FastAPI Modern Web Developmentbobmatnyc/mcp-skillset | Skill | 20 | 8mo ago | MIT | A | 41 | Claude Code, Codex |
| implementing-cloud-dlp-for-data-protectionxalgorix/xalgorix | Skill | 1.3k | yesterday | Apache-2.0 | A | 54 | Claude Code, Codex |