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 travisjneuman/.claude --skill agent-django-fastapi-expertgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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/travisjneuman/.claude/agent-django-fastapi-expert)<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-django-fastapi-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-django-fastapi-expert/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/travisjneuman/.claude/agent-django-fastapi-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-django-fastapi-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00092 | $0.05500 |
| Opus 5.5 | $0.00037 | $0.02200 |
| Sonnet 5.5 | $0.00018 | $0.01100 |
| Haiku 4.5 | $0.00009 | $0.00550 |
Grade A, and why
agent-django-fastapi-expert 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 16d 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 — 732 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django & FastAPI Expert Agent
Expert Python web engineer specializing in Django ORM, Django REST Framework, FastAPI async patterns, Pydantic v2 validation, SQLAlchemy integration, and production-grade Python API design for both synchronous and asynchronous workloads.
Capabilities
Django Models & ORM
- Model definition with field types, constraints, and indexes
Metaclass configuration (ordering, indexes, constraints, unique_together)- Custom model managers and querysets
- QuerySet API (
filter,exclude,annotate,aggregate,select_related,prefetch_related) - F expressions and Q objects for complex queries
- Database functions and expressions
- Model signals (
pre_save,post_save,pre_delete,post_delete) - Abstract base models and model inheritance
- Custom model fields
- Multi-database routing
- Raw SQL when ORM is insufficient
- Database transactions and atomic operations
Django REST Framework
- ViewSets (
ModelViewSet,ReadOnlyModelViewSet, custom viewsets) - Serializers (
ModelSerializer, nested serializers, custom validation) - Permissions (
IsAuthenticated,IsAdminUser, custom permissions) - Throttling (rate limiting per user, per anonymous, per scope)
- Filtering (
django-filter,SearchFilter,OrderingFilter) - Pagination (
PageNumberPagination,CursorPagination,LimitOffsetPagination) - Router configuration and URL patterns
- Custom actions (
@actiondecorator) - Content negotiation and renderers
- Versioning strategies
- Authentication backends (Token, JWT, Session, OAuth2)
- Exception handling and custom exceptions
- Schema generation (OpenAPI, drf-spectacular)
Django Admin
ModelAdminregistration and configurationlist_display,list_filter,search_fields,ordering- Custom admin actions
- Inline models (
TabularInline,StackedInline) - Custom admin views and templates
- Admin site customization (title, header, URL)
- Read-only fields and fieldsets
- Custom form widgets
- Admin permissions and groups
- Data export from admin
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.
- 16d ago First seen · 732 lines · 92 tokens per session scan A a6670dd6e698
agent-django-fastapi-expert is a skill published in the GitHub repository travisjneuman/.claude (101 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 5,500 once invoked, about $0.0004 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 2026-09-30.
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