Prowler is an open-source cloud security platform that checks cloud environments for security issues and compliance with standards such as CIS, NIST, and GDPR. Security teams use it to assess configurations, prioritize findings, produce reports, and guide remediation.
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/prowler-cloud/prowlernpx agentmods add skills/prowler-cloud/prowler/django-drfWrote 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/prowler-cloud/prowler/django-drf)<a href="https://agentmods.dev/skills/prowler-cloud/prowler/django-drf"><img src="https://agentmods.dev/badge/skills/prowler-cloud/prowler/django-drf/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/prowler-cloud/prowler/django-drf"><img src="https://agentmods.dev/badge/skills/prowler-cloud/prowler/django-drf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00051 | $0.03799 |
| Opus 5.5 | $0.00020 | $0.01520 |
| Sonnet 5.5 | $0.00010 | $0.00760 |
| Haiku 4.5 | $0.00005 | $0.00380 |
Grade A, and why
django-drf scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Critical Patterns
- ALWAYS separate serializers by operation: Read / Create / Update / Include
- ALWAYS use
filterset_classfor complex filtering (notfilterset_fields) - ALWAYS validate unknown fields in write serializers (inherit
BaseWriteSerializer) - ALWAYS use
select_related/prefetch_relatedinget_queryset()to avoid N+1 - ALWAYS handle
swagger_fake_viewinget_queryset()for schema generation - ALWAYS use
@extend_schema_fieldfor OpenAPI docs onSerializerMethodField - NEVER put business logic in serializers - use services/utils
- NEVER use auto-increment PKs - use UUIDv4 or UUIDv7
- NEVER use trailing slashes in URLs (
trailing_slash=False)
Note:
swagger_fake_viewis specific to drf-spectacular for OpenAPI schema generation.
Implementation Checklist
When implementing a new endpoint, review these patterns in order:
| # | Pattern | Reference | Key Points |
|---|---|---|---|
| 1 | Models | api/models.py |
UUID PK, inserted_at/updated_at, JSONAPIMeta.resource_name |
| 2 | ViewSets | api/base_views.py, api/v1/views.py |
Inherit BaseRLSViewSet, get_queryset() with N+1 prevention |
| 3 | Serializers | api/v1/serializers.py |
Separate Read/Create/Update/Include, inherit BaseWriteSerializer |
| 4 | Filters | api/filters.py |
Use filterset_class, inherit base filter classes |
| 5 | Permissions | api/base_views.py |
required_permissions, set_required_permissions() |
| 6 | Pagination | api/pagination.py |
Custom pagination class if needed |
| 7 | URL Routing | api/v1/urls.py |
trailing_slash=False, kebab-case paths |
| 8 | OpenAPI Schema | api/v1/views.py |
@extend_schema_view with drf-spectacular |
| 9 | Tests | api/tests/test_views.py |
JSON:API content type, fixture patterns |
Full file paths: See references/file-locations.md
Decision Trees
Which Serializer?
GET list/retrieve → <Model>Serializer
POST create → <Model>CreateSerializer
PATCH update → <Model>UpdateSerializer
?include=... → <Model>IncludeSerializer
What ships with it
3 files 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.
- 1mo ago First seen · 506 lines · 51 tokens per session scan A 880458a55298
django-drf is a skill published in the GitHub repository prowler-cloud/prowler (15,091 stars, last pushed yesterday), licensed Apache-2.0. It adds 51 tokens to every session and 3,799 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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