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 fmind/dot --skill python-webgit clone --depth 1 https://github.com/fmind/dotWrote 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/fmind/dot/python-web)<a href="https://agentmods.dev/skills/fmind/dot/python-web"><img src="https://agentmods.dev/badge/skills/fmind/dot/python-web/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/fmind/dot/python-web"><img src="https://agentmods.dev/badge/skills/fmind/dot/python-web.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 | $0.00025 | $0.00285 |
| Opus 5.5 | $0.00010 | $0.00114 |
| Sonnet 5.5 | $0.00005 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
python-web 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 4d 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.
What it actually says
Python Web Applications
Build the requested application in its existing framework. For new ordinary APIs use Litestar; choose Django for integrated ORM/admin/auth, or Gradio/NiceGUI for an appropriate Python interface.
Workflow
Read only the matching guide and its required resources. Use a known guide directly when shared prerequisites are not needed.
Task guides
- django: Django applications, ORM, admin, authentication, and native testing.
- fastapi: Existing or explicitly chosen FastAPI services and generated agent scaffolds.
- gradio: Gradio model demos and interactive interfaces.
- litestar: Litestar ASGI applications, request boundaries, and scaffolding.
- nicegui: NiceGUI dashboards and general browser interfaces.
What ships with it
12 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.
- references/django/GUIDE.md 3.9 KB
- references/django/references/bootstrap.md 7.8 KB
- references/fastapi.md 2.6 KB
- references/gradio.md 3.3 KB
- references/litestar/GUIDE.md 2.9 KB
- references/litestar/references/bootstrap.md 6.0 KB
- references/litestar/templates/conftest.py 534 B runs code
- references/litestar/templates/env.example 254 B
- references/litestar/templates/init.py 4.4 KB runs code
- references/litestar/templates/test_integration.py 601 B runs code
- references/litestar/templates/test_web.py 3.9 KB runs code
- references/nicegui.md 2.7 KB
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.
- 4d ago Changed 07bdd4244aa0
- 6d ago Changed c2a5ba48bb96
- 8d ago Changed 5b0f8abcb72d
- 10d ago Changed a49e5309e422
- 11d ago Changed · -4 tokens per session ff536380caee
- 13d ago Changed 93de7f1bfcaf
- 19d ago Changed 9aca3ed5c658
- 20d ago Changed 3867883b0490
- 22d ago Changed 9004c18a8d57
- 29d ago First seen · 32 lines · 29 tokens per session scan A bd0dd162d1b5
python-web is a skill published in the GitHub repository fmind/dot (11 stars, last pushed 2d ago), licensed MIT. It adds 25 tokens to every session and 285 once invoked, about $0.0001 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 2026-09-17.
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