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SKILL verified MIT Self-run

Artifact Reading

skill-adeerkhan-vitruvius-artifact-reading · by adeerkhan

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Install

$ agentstack add skill-adeerkhan-vitruvius-artifact-reading

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Engineering Artifact Reading

Read and extract from engineering documents accurately. This is the reading half of the research loop, made explicit: most research failures are reading failures — answering from one page, from a title, or from memory.

Workflow

  1. Map the document first. Before answering, parse enough to know the

structure: title, revision/edition, table of contents, sections, tables, figures, appendices, and where the normative (required) content lives vs the informative (guidance) content.

  1. Anchor every extract to a location. Page/section/table/figure numbers

for PDFs and standards; sheet + zone for drawings; clause + line for code. Keep table values, figure labels, part numbers, and quoted snippets tied to their location so they can be re-checked.

  1. Read the pages the answer depends on. Do not answer from a single

visible page when the question spans methods, tables, notes, or appendices. For a datasheet, read the notes under the tables — that is where the limits live.

  1. Cross-check — when a conclusion depends on multiple parts of a document

(a value in a table, a note, a referenced section), verify they agree. Check normative references when the source points at another document.

  1. Record provenance — save extracted notes with their source locations as

artifacts for the research run. Never strip the location when handing findings to synthesis.

Reading by artifact type

  • Standard/code: section + edition + table/figure number; distinguish

normative (shall) from informative (should/may) and commentary.

  • Datasheet: the part number and revision; table notes; absolute maximum

ratings vs recommended operating conditions; test conditions behind specs.

  • Drawing: title block (revision, scale), sheet layout, zone grid,

dimension units and tolerances, general notes.

  • Paper/report: abstract, methods, results, limitations — do not infer

results from the abstract.

  • Specification: scope, referenced documents, requirement clauses, and the

verification method each requirement is measured against.

Subagent Dispatch Mode

When dispatched as an isolated subagent for document parsing (e.g., by /proposal):

  1. Receive file paths — one or more document paths to parse
  2. Extract content — for each file, run:

``bash node scripts/extract-document.mjs ``

  1. Parse the JSON result — extract:
  • markdown — full document content in markdown format
  • pages — page count
  • method — extraction method used (text, pdf-parse, vision)
  • warnings — any quality issues (scanned PDF, missing optional dependency, etc.)
  1. Return structured content with:
  • Full text (markdown format)
  • Page count
  • Extraction method used
  • Source locations for key sections (page numbers)
  • Warnings and quality notes
  1. Record provenance — document what was extracted, how, and any limitations

Output format for subagent return:

{
  "source": "path/to/file.pdf",
  "method": "pdf-parse",
  "pages": 5,
  "content": "full markdown content...",
  "sections": [
    {"title": "Research Areas", "page": 1, "text": "..."},
    {"title": "Requirements", "page": 2, "text": "..."}
  ],
  "warnings": []
}

If extraction method is vision: general artifact-reading may use the host's explicit read_file or vision capability, but /proposal deterministic intake must stop and require a separately recorded text transcription; it must not silently feed vision output into the binder.

Boundaries

  • Never fill a gap you could not read. Mark it blocked and say what was

unreadable and why (paywall, missing page, unreadable scan, binary format).

  • Do not answer from a title, filename, or snippet when a direct read is

possible — that is the integrity commandment, applied to reading.

  • Research-only, not for final engineering sign-off. Outputs support engineering research but must be reviewed by a licensed engineer for any design application.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.