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workfront

Workfront integration. Manage data, records, and automate workflows. Use when the user wants to interact with Workfront data.

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

86%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.

A high-quality, highly actionable body that loads schemas, orchestrates agents, and verifies bundle references with strong progressive disclosure. Minor concision trimming and a worked end-to-end example would round it out.

Suggestions

Trim repeated rationale and consolidate the multi-step instructions so the core procedure fits a single scannable page.

Add one short worked example showing a sample findings file and the resulting `results.json` snippet.

Consolidate the per-judge process explanation to avoid restating the same workflow multiple times.

DimensionReasoningScore

Actionability

The body is dense with imperative, concrete instructions (load `findings.schema.json`, run context-build agents via Agent tool, pre-format findings via `pygmentize`, populate `progressive_disclosure` by reading `references/`/`scripts/`) leaving no ambiguity about what to do.

5 / 5

Clarity And Conciseness

Prose is clear and well-structured, but the body runs long with repeated detail and embedded rationale that could be trimmed to keep it scannable; it stops just short of maximal concision.

4 / 5

Examples And Demonstrations

It provides concrete examples (file existence lists, schema fields, a populated `meta` block) but lacks worked input/output walkthroughs that would fully demonstrate execution end-to-end.

4 / 5

Structure And Progressive Disclosure

It practices progressive disclosure: short procedural sections, defined bundle files (`references/`, `scripts/`, `assets/`) referenced by name and verified to exist, and defers heavy detail to referenced files rather than inlining it.

5 / 5

Total

18

/

20

Passed

Description

92%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.

An excellent description: specific, trigger-rich, third-person, and tightly scoped to the skill's actual behavior. Only marginal tightening of the trigger list would push it to a perfect score.

DimensionReasoningScore

Description Length

At roughly 60 words it falls in the recommended 1–3 sentence / <100 word band and stays scannable; it is slightly dense with multiple listed triggers, which keeps it just below a perfect score.

4 / 5

Description Third Person

It is written in third person ("Agentic code reviewer that...") with no self-referential pronouns or first/second person phrasing, exactly matching the highest anchor.

5 / 5

Description Clarity And Triggers

The description is specific, verb-led, and enumerates concrete trigger conditions (high-risk changes, large refactor, merges) so it is unmistakable when to invoke; it also matches the content body without overclaiming.

5 / 5

Total

14

/

15

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
membranedev/application-skills
Reviewed

Table of Contents

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