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last30days

Recent community and social trend research over the last 30 days. Use when the brief asks what people are saying now, recent sentiment, community reactions, social proof, launch reaction, trend scan, or last-30-days context.

65

Quality

82%

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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.

A strong, executable skill body: concrete engine command with fallbacks, a disciplined workflow, and a well-signaled one-level-deep reference. Remaining gaps are minor — a final output-verification checkpoint and slight tightening of host-process commentary.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no background concept explanations, and the report-contract template earns its tokens as the deliverable spec. A few host-process notes (daemon log handling, attribution detail) could be trimmed, matching 'efficient; minor instances that could be trimmed' rather than the fully lean anchor 5.

4 / 5

Actionability

It provides a concrete runnable engine command with real flags, fallback interpreter rules, an exact output path, and a complete Markdown report template. It stops short of anchor 5 because the command requires unfilled placeholders (<staged-skill-dir>, <topic>) and there is no worked example of the fallback flow, leaving minor gaps.

4 / 5

Workflow Clarity

The 7-step workflow is clearly sequenced with explicit engine-failure fallback, labeled coverage statuses (checked/unavailable/thin/not relevant), and synthesis-vs-interpretation discipline. It misses anchor 5 only by lacking an explicit final verification step (e.g., confirming the saved report exists and matches the contract) before responding.

4 / 5

Progressive Disclosure

The SKILL.md is a clear overview with focused sections; the single external reference (references/save-html-brief.md, which exists in the bundle) is well-signaled, one level deep, and loaded only when the user asks for HTML. The inline report contract belongs in the main file, and the bundled engine scripts are correctly delegated rather than explained, matching the anchor-5 structure.

5 / 5

Total

17

/

20

Passed

Description

78%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.

A well-formed description with an explicit what-and-when structure and natural trigger phrases. Its main weakness is that the capability statement is a single generic action ('research') without naming the concrete deliverable or operations, which holds down specificity.

Suggestions

Add one or two concrete actions or the deliverable to the capability sentence, e.g., 'Runs a community/social trend scan and writes a sourced Markdown briefing covering the last 30 days.'

Include a couple of additional natural trigger variants users might say, such as 'social media buzz', 'word of mouth', or 'recent reactions', to broaden trigger coverage.

DimensionReasoningScore

Specificity

The description names the domain well ('Recent community and social trend research over the last 30 days') but the only action is the generic 'research', with no concrete deliverable or operations named. It sits between anchor 2 (domain named, actions minimal/generic) and anchor 3 (domain plus 1-2 concrete actions), since 'research' counts as one concrete but broad action.

3 / 5

Completeness

It explicitly answers 'what' ('Recent community and social trend research over the last 30 days') and 'when' with a 'Use when the brief asks...' clause listing concrete trigger phrases, matching the anchor-5 example structure. Not a 4 because the 'when' guidance is already explicit and trigger-specific rather than only serviceable.

5 / 5

Trigger Term Quality

Natural user phrases like 'what people are saying now', 'recent sentiment', 'community reactions', 'social proof', 'launch reaction', and 'trend scan' would plausibly be said verbatim. A few common variants (e.g., 'social media buzz', 'word of mouth', specific platform reactions) are missing, matching the 'good coverage, a few natural terms missing' anchor.

4 / 5

Distinctiveness Conflict Risk

The 30-day recency window and community/social focus form a fairly distinct niche with specific triggers. 'Trend scan' and 'social research' could still overlap with general research or deep-research skills, keeping it at 'mostly distinct; minor overlap risk' rather than a clear 5.

4 / 5

Total

16

/

20

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.

Validation — 15 / 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

nexu-io/open-design

Path

design-templates/last30days/SKILL.md

Reviewed

Table of Contents

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