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ppt-generation-resilient

Robust PowerPoint generation with shell_agent primary approach and python-pptx fallback, including working directory verification and inline error debugging

50

Quality

54%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./benchmarks/gdpval/skills/ppt-workflow-location-enhanced-877e03/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

62%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 a well-sequenced, highly actionable resilient workflow with strong validation and feedback loops, but it is verbose and monolithic, duplicating code and inlining material that would benefit from separate reference files.

Suggestions

Remove the duplicated Python script in the 'Example Workflow (Complete)' section or replace it with a short trace of expected outputs, keeping the canonical script in Step 2a.

Consolidate the overlapping Common Pitfalls, Troubleshooting table, and Debugging Commands sections to cut redundancy.

Move the full Python template and debugging command reference into separate bundle files (e.g. references/generate_pptx.py, references/debugging.md) and link to them from the body.

DimensionReasoningScore

Conciseness

The full Python generation script is duplicated in Step 2a and again in the 'Example Workflow (Complete)' section, and the Common Pitfalls, Troubleshooting table, and Debugging Commands sections overlap, padding the body with explanations of basics Claude already knows.

2 / 5

Actionability

Provides mostly copy-paste-ready, executable Python and bash covering the common case, with the shell_agent step given as an appropriate delegation template; only minor gaps remain.

4 / 5

Workflow Clarity

Steps 0–5 are clearly sequenced with explicit validation checkpoints (working directory, execution log, file size/format/slide count), feedback loops (shell_agent→python-pptx fallback, not-found→broader search, 0-byte→re-run), and a Success Criteria checklist.

5 / 5

Progressive Disclosure

Section headers give it some structure, but the skill is a monolithic ~270-line file with no bundle references and content (the full script, debug commands) that could live in separate files is inlined; the under-50-line simple-skill exception does not apply.

3 / 5

Total

14

/

20

Passed

Description

46%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 conveys a clear, specific capability and a distinctive two-tier approach, but it omits any explicit trigger guidance and relies heavily on internal jargon rather than natural user phrases.

Suggestions

Add a 'Use when…' clause with concrete triggers, e.g. 'Use when generating PowerPoint presentations (.pptx) or when direct generation tools fail.'

Include natural synonyms and file extensions users say — 'presentation', 'slides', '.pptx' — alongside 'PowerPoint'.

Replace some internal jargon ('shell_agent', 'python-pptx') or pair it with user-facing terms so the description reads naturally.

DimensionReasoningScore

Specificity

Names the domain ('PowerPoint generation') plus several concrete techniques ('shell_agent primary approach and python-pptx fallback', 'working directory verification', 'inline error debugging'), but these describe the resilience mechanism rather than a comprehensive set of capabilities.

3 / 5

Completeness

It states a clear 'what' (robust two-tier PowerPoint generation with verification and error debugging) but includes no 'Use when…' trigger clause, which caps completeness at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Only one natural keyword ('PowerPoint') appears; the rest is technical jargon ('shell_agent', 'python-pptx') and it misses natural synonyms users would say such as 'presentation', 'slides', or '.pptx'.

2 / 5

Distinctiveness Conflict Risk

PowerPoint generation is a clear niche and the shell_agent-plus-python-pptx fallback framing is distinctive, leaving only minor overlap risk with closely related file-generation skills.

4 / 5

Total

12

/

20

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
HKUDS/OpenSpace
Reviewed

Table of Contents

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