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 wedsamuel1230/arduino-skills --skill datasheet-interpretergit clone --depth 1 https://github.com/wedsamuel1230/arduino-skillsWrote 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/wedsamuel1230/arduino-skills/datasheet-interpreter)<a href="https://agentmods.dev/skills/wedsamuel1230/arduino-skills/datasheet-interpreter"><img src="https://agentmods.dev/badge/skills/wedsamuel1230/arduino-skills/datasheet-interpreter/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/wedsamuel1230/arduino-skills/datasheet-interpreter"><img src="https://agentmods.dev/badge/skills/wedsamuel1230/arduino-skills/datasheet-interpreter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00067 | $0.03092 |
| Opus 5 | $0.00034 | $0.01546 |
| Sonnet 5 | $0.00013 | $0.00618 |
| Haiku 4.5 | $0.00007 | $0.00309 |
Grade A, and why
datasheet-interpreter 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- datasheet-interpreter — 89% identical, 15 lines differ
How it starts
The opening of the file, as written. The whole thing — 452 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datasheet Interpreter
Extracts actionable specifications from component datasheet PDFs.
Resources
Scripts
- scripts/extract_specs.py - Downloads datasheet PDFs from URLs and extracts specs using pattern matching
References
- references/common-parameters.md - Guide to understanding datasheet parameters
Quick Start
# Extract specs from a datasheet URL
uv run --no-project scripts/extract_specs.py --url "https://www.sparkfun.com/datasheets/Sensors/Temperature/DHT22.pdf"
# Extract specs with markdown output
uv run --no-project scripts/extract_specs.py --url "https://cdn-shop.adafruit.com/datasheets/SSD1306.pdf" --format markdown
# Extract from local PDF file
uv run --no-project scripts/extract_specs.py --file "local_datasheet.pdf"
# Interactive mode
uv run --no-project scripts/extract_specs.py --interactive
When to Use
- "What's the I2C address for this chip?"
- "How do I connect this sensor?"
- "What pins do what on this module?"
- User shares a PDF datasheet URL
- Need timing specs or register info
- Quick reference without full driver generation
Relationship to Other Skills
- datasheet-parser: Full driver library generation (lexus2k-style)
- datasheet-interpreter (this): Quick spec extraction for immediate use
Information Extraction Workflow
Step 1: Request Datasheet
Please provide:
1. Component name (e.g., "BME280", "MPU6050")
2. Datasheet PDF file or URL (manufacturer version preferred)
3. What specific information you need:
□ Pin assignments / pinout
□ I2C/SPI address and protocol
□ Operating conditions (voltage, current)
□ Timing requirements
□ Register map
□ Example circuit
□ All of the above
Step 2: Validate PDF Quality
Check For:
- Searchable text (not scanned image)
- Official manufacturer datasheet (not clone/distributor summary)
- Revision/version number noted
- Complete document (includes register tables if applicable)
If PDF Issues:
⚠️ This appears to be a [scanned image | partial datasheet | third-party summary].
For best results, please provide the official manufacturer datasheet from:
- [Manufacturer website link]
- Or search: "[component] datasheet pdf site:manufacturer.com"
What ships with it
2 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.
- 12d ago First seen · 452 lines · 67 tokens per session scan A a0325fba1070
datasheet-interpreter is a skill published in the GitHub repository wedsamuel1230/arduino-skills (21 stars, last pushed 22d ago), licensed MIT. It adds 67 tokens to every session and 3,092 once invoked, about $0.0003 per session on Opus 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 set of instructions for working with PDF files, which are documents designed to preserve their layout across devices.
datasheets
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invoice-document-pdf
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report-generation
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md-to-pdf
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arxiv-preflight
Pre-submission validation audit for arXiv papers across TeX source, PDF, figures, metadata, bibliography, file organization, and common-error scans. Produces pass/fail report with specific fixes per arXiv requirement. Triggers on: "check my arXiv submission", "validate for arXiv", "arXiv preflight", "ready for arXiv"…