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story-bank-builder

Use when the user asks to "build a story bank", "collect our origin and customer stories", or "assemble reusable proof stories for the message"; assembles reusable narrative units — origin, founder, customer, transformation, and proof stories — each tagged to a claims-ledger ID and a message-house pillar, with every proof labeled Measured / User-provided / [needs source]. Not for authoring the message house or pillars — use message-system-architect; not for brand voice or naming rules — use brand-language-codifier; not for finished long-form prose — use content-writer; not for adjudicating whether a proof is true — use offer-claims-registry. 品牌故事库/起源客户转化/证据故事单元

68

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

72%Weight 40%Scale 1-3

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

A well-structured, highly actionable instruction skill with clear sequencing and one-level-deep references. Its main weaknesses are repetition (the registry-events.py handoff phrase and the exclusion list recur across sections) and the absence of an explicit validate→fix→retry feedback loop for its batch memory-write operations.

Suggestions

Define the 'authorized `operation: propose` request to `registry-events.py`' handoff once (e.g. in a short 'Proof & canon handoff' subsection) and reference it by name elsewhere, instead of repeating the full phrase in the Skill Contract, Instructions, and Save Results sections.

Consolidate the sibling-skill exclusions into the single Scope guard block and drop their re-listing in Reference Materials / Next Best Skill where they duplicate, keeping only the navigation pointer.

Add an explicit validation feedback loop for the batch write step — e.g. after assembling the bank, re-check that every story maps to exactly one pillar and every proof carries a label, and if any fail, fix and re-verify before saving — to lift workflow clarity above 2.

DimensionReasoningScore

Conciseness

The body is operational and assumes Claude's competence (no 'what is a story' padding), but repeats 'via an authorized `operation: propose` request to `registry-events.py`' verbatim ~6 times and restates the same sibling-skill exclusion list across the description, Scope guard, and Reference Materials. This fits 'mostly efficient but could be tightened', short of the lean score-3 anchor.

2 / 3

Actionability

Concrete, executable guidance throughout: exact memory paths (memory/narrative/story-bank-builder/), proof labels (Measured / User-provided / [needs source]), five named story types, and an arc beat sequence (situation → tension → change → outcome). Meets the score-3 'concrete, specific guidance' bar for an instruction-only skill.

3 / 3

Workflow Clarity

A clear 7-step Instructions sequence with a NEEDS_INPUT stop (step 1), proof-gap flagging (step 6), and a 'Done when' checklist. However, for batch story processing and memory writes there is no explicit validate→fix→retry feedback loop, which the rubric expects for destructive/batch operations, capping it at 2 rather than 3.

2 / 3

Progressive Disclosure

The body is an overview that points one level deep to clearly signaled references (tale-benchmark.md, skill-contract.md, CONNECTORS.md, SECURITY.md, and sibling SKILL.md files), collected in a Reference Materials section. No bundle files exist under ./references, ./scripts, or ./assets, so there is no nested-reference problem; organization matches the score-3 anchor.

3 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 strong, third-person description that names concrete actions, quotes natural trigger phrasings, and disambiguates itself from four sibling skills via explicit 'not for' routing. The only minor blemish is the trailing Chinese gloss '品牌故事库/起源客户转化/证据故事单元', which adds little.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'assembles reusable narrative units — origin, founder, customer, transformation, and proof stories — each tagged to a claims-ledger ID and a message-house pillar, with every proof labeled Measured / User-provided / [needs source]'. This matches the score-3 anchor of several specific concrete actions, not the score-2 'names domain and some actions'.

3 / 3

Completeness

Explicitly answers both: what ('assembles reusable narrative units … tagged to a claims-ledger ID and a message-house pillar') and when ('Use when the user asks to …'). Meets the score-3 anchor with an explicit 'Use when' trigger, so it is not capped at 2.

3 / 3

Trigger Term Quality

Quotes natural user phrasing — '"build a story bank", "collect our origin and customer stories", or "assemble reusable proof stories for the message"' — covering the verbatim ways a user would request this. Above score-2 because it gives multiple realistic phrasings rather than a single keyword.

3 / 3

Distinctiveness Conflict Risk

Four 'Not for … use <sibling-skill>' exclusions (message-system-architect, brand-language-codifier, content-writer, offer-claims-registry) carve out a clear niche, making misrouting unlikely. Distinct from the score-2 'could still overlap' case.

3 / 3

Total

12

/

12

Passed

Validation

75%

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

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 32 suspicious

Warning

referenced_paths_exist

Referenced path issues: 1 missing, 1 deeper-than-1-level

Warning

Total

12

/

16

Passed

Repository
aaron-he-zhu/aaron-marketing-skills
Reviewed

Table of Contents

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