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wiki-ingest

Use when an operation issue asks to ingest a captured `raw/` source into the LLM Wiki, or the user says "ingest <slug>". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles.

80

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The content is a tight, well-structured instruction skill: it gives concrete paths, tool names, and counts, sequences the ingest workflow with explicit validation checkpoints and a verification checklist, and stays lean without explaining concepts Claude already knows. No bundle files are needed or present, and none are missing.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — terse "Terse, factual, neutral" voice guidance, concrete page targets, and no padding explaining what a wiki or ingestion is — so it is not a 2.

3 / 3

Actionability

As an instruction-only skill it gives concrete, specific guidance — exact paths (wiki/sources/<slug>.md), named tools, word/page counts (~300–800 words, 5–15 pages), and a copy-paste log-entry template — which per the scoring notes is not penalized for lacking code.

3 / 3

Workflow Clarity

A clear 9-step sequence with explicit checkpoints (read context to avoid re-ingesting, confirm only if a user is in the loop, flag rather than overwrite contradictions) plus a checkbox verification checklist; the destructive/batch write operations have feedback loops, so it is not capped at 2.

3 / 3

Progressive Disclosure

A single self-contained file with well-organized sections (Inputs, Workflow, Voice, Verification, Tools) and no nested external references; with no bundle files present and no need for them, this meets the under-50-lines exception for a clean 3.

3 / 3

Total

12

/

12

Passed

Description

100%

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 specific, trigger-rich, and complete, naming concrete page outputs and giving explicit 'Use when' guidance with natural trigger phrasing. It carves out a distinct niche that is unlikely to conflict with sibling skills.

DimensionReasoningScore

Specificity

Names multiple concrete actions — "Create durable source, entity, concept, synthesis, index, and log pages" plus "use paperclip-distill for Paperclip bundles" — matching the anchor for listing several specific concrete actions.

3 / 3

Completeness

Explicitly answers both what (create the listed page types; use paperclip-distill) and when ("Use when an operation issue asks to ingest... or the user says 'ingest <slug>'"), with an explicit 'Use when...' clause present.

3 / 3

Trigger Term Quality

Provides natural triggers users would say ("the user says 'ingest <slug>'" and "ingest a captured `raw/` source into the LLM Wiki") with good coverage of the ingest vocabulary; not merely technical jargon, so it is not a 2.

3 / 3

Distinctiveness Conflict Risk

Has a clear niche (ingesting a captured raw/ source into the LLM Wiki) with distinct triggers unlikely to collide with other skills; not generic enough to be a 2.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
paperclipai/paperclip
Reviewed

Table of Contents

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