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heavy-file-ingestion-claude-code

Use in Claude Code when a user asks to read, analyze, summarize, or extract from a heavyweight file such as PDF, DOCX, PPTX, XLSX, CSV, or TSV. Convert the file into markdown or CSV first with the bundled script, generate a lightweight index, and only spend model tokens on the compressed artifact.

72

Quality

89%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is concise, well-structured, and gives mostly executable guidance with a sensible routed workflow and a retry feedback loop. Its main weakness is bundle integrity: the converter script and reference file it names are absent, breaking the progressive-disclosure navigation it advertises.

Suggestions

Ship the missing bundle files referenced by the body (scripts/convert_heavy_file.py and references/open-source-stack.md), or remove the references if those artifacts are not actually bundled.

Add an explicit validation checkpoint after conversion (e.g. 'confirm index.md and the markdown/CSV artifact exist and are non-empty before reading them') to raise workflow clarity.

Replace the abstract routing labels with concrete next-step commands so the 'cheapest next step' decision is directly executable rather than a named branch.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no padding about what PDFs are or how libraries work — with every section (Problem, Trigger Conditions, Process, Client Rules, Bundled References) earning its place, matching the 5 anchor.

5 / 5

Actionability

Provides copy-paste-ready commands for both the default and dependency-missing cases plus concrete routing branches, but the routing keys ('read_extracted_artifact', etc.) are abstract labels rather than literal follow-up commands, leaving minor gaps that keep it below 5.

4 / 5

Workflow Clarity

A clear sequenced process with a read-the-index-first checkpoint and an install-and-retry feedback loop, but there is no explicit 'verify the conversion produced the expected output' validation step, so it sits at 4 rather than 5.

4 / 5

Progressive Disclosure

Structure and signaling are good — a Bundled References section points one level deep to references/open-source-stack.md — but neither that file nor scripts/convert_heavy_file.py actually exists in the bundle, so the signaled navigation is broken; the missing referenced paths drag it down from a 4.

3 / 5

Total

16

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is exemplary: it concretely states capabilities, includes natural user trigger terms and file formats, explicitly answers both what and when, and occupies a distinct niche with low conflict risk. Third-person voice with a user-as-subject trigger clause avoids the first/second-person penalty.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'read, analyze, summarize, or extract', 'Convert the file into markdown or CSV', 'generate a lightweight index', and a token-budgeting strategy — giving comprehensive coverage rather than the minor gaps of a 4.

5 / 5

Completeness

Explicitly states both what ('Convert the file into markdown or CSV ... generate a lightweight index') and when ('Use in Claude Code when a user asks to read, analyze, summarize, or extract from a heavyweight file such as ...'), with concrete trigger phrases, matching the 5 anchor exactly.

5 / 5

Trigger Term Quality

Covers the natural verbs users say ('read, analyze, summarize, or extract') plus the full format list 'PDF, DOCX, PPTX, XLSX, CSV, or TSV', matching the comprehensive synonym-and-extension coverage of the 5 anchor.

5 / 5

Distinctiveness Conflict Risk

The 'heavyweight file ingestion' niche with a fixed format list and converter-first strategy is a clear, distinct trigger set with minimal overlap with other skills, fitting the 5 anchor; it is more specific than the 4 anchor's minor-overlap case.

5 / 5

Total

20

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 4 missing

Warning

Total

14

/

16

Passed

Repository
NateBJones-Projects/OB1
Reviewed

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