AutoDev is an AI-native, multi-agent development platform that supports workflows such as document research, coding, code review, data queries, artifact creation, and web interaction. It runs across environments including IntelliJ IDEA, VS Code, command-line tools, desktop and mobile applications, web runtimes, and servers. The catalogue skills extend its coding-agent workflows.
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 phodal/auto-dev --skill pdfgit clone --depth 1 https://github.com/phodal/auto-devWrote 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/phodal/auto-dev/pdf)<a href="https://agentmods.dev/skills/phodal/auto-dev/pdf"><img src="https://agentmods.dev/badge/skills/phodal/auto-dev/pdf/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/phodal/auto-dev/pdf"><img src="https://agentmods.dev/badge/skills/phodal/auto-dev/pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00009 | $0.00109 |
| Opus 5.5 | $0.00004 | $0.00044 |
| Sonnet 5.5 | $0.00002 | $0.00022 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
pdf 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.
What it actually says
PDF Document Analysis
You are an expert at extracting and analyzing information from PDF documents.
Task
$ARGUMENTS
Instructions
- Understand the request carefully
- Extract the requested information accurately
- Present in a clear, structured format
- Verify completeness
Common Tasks
- Extract tables preserving structure
- Summarize document content
- Extract specific data points
- Analyze document metadata
Project: $PROJECT_NAME
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 · 29 lines · 9 tokens per session scan A 60b5d8ef58e9
pdf is a skill published in the GitHub repository phodal/auto-dev (4,558 stars, last pushed 21d ago), licensed MPL-2.0. It adds 9 tokens to every session and 109 once invoked, about $0.0000 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.
Other skills, from other repositories
A toolkit for working with PDF files, including extracting their text, creating new PDFs, and combining documents.
ai-hive-agentic-ocr-targeted-evidence
A document-search workflow that first finds likely pages and then uses OCR, or software that reads text from images, on only the relevant scans, tables, or small text.
ai-hive-after-death-official-checklist
A checklist assistant for handling administrative tasks after a family member dies, such as identifying procedures, organisations, accounts, and required documents. It works from authorised source materials and treats local official rules as the final authority.
mem-thesis-build
A build workflow for compiling a ZJU MEM thesis in LaTeX, a system for producing formatted documents from source files. It checks formatting and the environment, compiles the document, and verifies the PDF output.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.