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regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs

55

Quality

61%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./benchmarks/gdpval/skills/regulatory-research-fallback/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

60%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 content lays out a clear, well-sequenced fallback workflow with useful templates and verification transparency, but it is held back by placeholder-heavy guidance and some redundant padding sections.

Suggestions

Replace placeholder-laden templates with at least one fully concrete worked example (real topic, real agency) so the guidance is copy-paste ready.

Trim the 'Key Principles' and 'Applicable Domains' sections, which restate content already implied by the procedure.

Add an explicit feedback/checkpoint at Step 1 (e.g., 'if read_webpage returns unknown error, proceed to Step 2; otherwise use the extracted content') to strengthen the validation loop.

DimensionReasoningScore

Conciseness

The body is mostly procedural templates rather than concept explanation, but sections like 'Key Principles' and 'Applicable Domains' restate or pad content that could be tightened, fitting 'mostly efficient but includes some unnecessary explanation'.

3 / 5

Actionability

It provides concrete shell_agent prompt templates and markdown output structures, but they are heavily placeholder-laden ([TOPIC], [SPECIFIC REQUIREMENT], [Agency Name]) and lack exact invocation details, matching 'some concrete guidance but incomplete'.

3 / 5

Workflow Clarity

The five numbered steps form a clear sequence with documentation and verification checkpoints (Step 1 records failures, Step 5 flags verification), though there is no explicit validate-fix-retry feedback loop.

4 / 5

Progressive Disclosure

No bundle files exist and the single file is well-organized with clear section headers; the example-output and domain-list content could arguably be split out, leaving minor organization gaps.

4 / 5

Total

14

/

20

Passed

Description

62%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 clearly conveys a niche fallback workflow with an explicit trigger condition, but it is light on specific actions and natural keyword variations. It is solid but not comprehensive.

Suggestions

Add concrete actions the workflow performs (e.g., 'delegates research to shell_agent, applies domain knowledge, and produces a verification-flagged compliance checklist').

Broaden trigger terms with natural synonyms users say: 'compliance', 'regulations', '.gov sites', 'regulatory PDFs'.

Consider a 'Use when...' phrasing and list multiple trigger conditions (e.g., read_webpage errors on .gov URLs, search_web missing current regulatory info).

DimensionReasoningScore

Specificity

The phrase 'Fallback workflow for regulatory research' names the domain and frames a concrete fallback action, but it does not enumerate multiple specific actions, so it sits at the 'names domain and 1-2 concrete actions' level rather than a comprehensive list.

3 / 5

Completeness

It states both the 'what' ('Fallback workflow for regulatory research') and an explicit 'when' trigger ('when web extraction tools fail on government PDFs'), but the trigger is a single condition rather than a comprehensive set, fitting 'both what and when; when could be more explicit or specific'.

4 / 5

Trigger Term Quality

Terms like 'regulatory research' and 'government PDFs' are relevant, but common natural variations users would say (compliance, regulations, .gov) are missing, matching 'some relevant keywords but missing common variations or synonyms'.

3 / 5

Distinctiveness Conflict Risk

The narrow fallback trigger (web extraction failing on government PDFs) carves a clear niche with minimal conflict risk, though it could still overlap slightly with general research skills.

4 / 5

Total

14

/

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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