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 AnswerDotAI/skill-plugins --skill nbdev-editinggit clone --depth 1 https://github.com/AnswerDotAI/skill-pluginsWrote 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/answerdotai/skill-plugins/nbdev-editing)<a href="https://agentmods.dev/skills/answerdotai/skill-plugins/nbdev-editing"><img src="https://agentmods.dev/badge/skills/answerdotai/skill-plugins/nbdev-editing/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/answerdotai/skill-plugins/nbdev-editing"><img src="https://agentmods.dev/badge/skills/answerdotai/skill-plugins/nbdev-editing.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 | $0.00130 | $0.00853 |
| Opus 5.5 | $0.00052 | $0.00341 |
| Sonnet 5.5 | $0.00026 | $0.00171 |
| Haiku 4.5 | $0.00013 | $0.00085 |
Grade A, and why
nbdev-editing 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 — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Editing nbdev Projects
First read and use the persistent-python skill - it is a must: all work here happens in that kernel using the pyskills-registered tooling, and its rules (reprs, doc(...) inspection, raw strings) are assumed, not repeated. Style and testing process follow the coding-patterns skill, also assumed.
The substance lives in the pyskill docs - read both (free doc() cells) before working:
doc(nbdev.skill): notebook authoring - the source-of-truth/export model, mixed notebook/plain projects, narrative rhythm, examples-as-docs, directives, state flow. Read before writing or reviewing any notebook content.doc(llmsurgery.dlgskill): reading, searching, and editing notebooks - see its "Idiomatic usage" section. clikernel's own docs cover the nbdev-specific kernel rules (shellnbdev-export/nbdev-test,restartafter export,%nbrunred-green).
nbdev v3
Everything here is on nbdev v3 (released Jan 2026, likely after your training cutoff). Key user-visible changes from v2: config moved from settings.ini to pyproject.toml - standard metadata in [project], nbdev-specific keys in [tool.nbdev] (defaults now nbs_path='nbs', doc_path='_docs'), version in __init__.py exposed via dynamic = ["version"], and _modidx registered under [project.entry-points.nbdev]. CLI commands use hyphens, not underscores (nbdev-export, nbdev-test, nbdev-readme, ...), though the Python functions keep underscores (nbdev_export). GitHub workflows use the v3 actions (fastai/workflows/nbdev3-ci, quarto-ghp3).
Environment specifics
- Most ipynb files are fine to nbdev-test, but some are slow or require API keys, so plan to run
nbdev-teston the changed notebook when done making changes, but check with Jeremy first before you actually do it. Once you know an ipynb or project is safe to run, go ahead without checking as needed (known safe: all of pyskills). - Tests use the fastcore.test helpers (
test_eq,expect_fail, ...) in plain code cells. from fastcore.utils import *in an early cell already providesos,Path, etc. - don't re-import those later.- For project-level questions, read
nbs/index.ipynb, notREADME.md: the README is generated from it, renders worse (no cell ids, flattened outputs), and can be stale if regeneration lagged. They should match; when they don't, index.ipynb is the truth. Regen withnbdev-readmeafter editing it.
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 · 30 lines · 0 tokens per session scan A 2447ee404a5f
nbdev-editing is a skill published in the GitHub repository AnswerDotAI/skill-plugins (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 130 tokens to every session and 853 once invoked, about $0.0005 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 2026-08-31.
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