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narrative-drift-monitor

Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘

68

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

70%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.

The body is a well-structured, validation-rich workflow with clean progressive disclosure, but it loses conciseness to repeated cross-skill disclaimers and loses actionability marginally by describing the output artifact in prose rather than showing a concrete example. Tightening the recurring registry-events.py phrasing and adding one example drift-report table would lift the two 2s.

Suggestions

De-duplicate the 'authorized operation: propose request to registry-events.py' disclaimer — state the claim/canon-routing rule once in the Skill Contract and reference it from Reads/Writes/Save Results instead of repeating it four times.

Add one concrete example drift-report block (a small per-surface self-drift table with verdict + as-of snapshot, plus one competitor-repositioning alert and one trigger entry) so the Expected Output is shown, not just described.

Collapse the restated handoff targets in Scope guard, Reference Materials, and Next Best Skill into a single handoff section to remove the repeated narrative-quality-auditor / message-system-architect / narrative-cascade-planner triples.

DimensionReasoningScore

Conciseness

Information-dense and assumes domain competence (TALE, narrative-registry, SSOT), but the 'authorized operation: propose request to registry-events.py' disclaimer recurs ~4 times and the same handoff targets (narrative-quality-auditor, message-system-architect, narrative-cascade-planner) are restated across Scope guard, Instructions, Reference Materials, and Next Best Skill. Not a 3 because the repetition could be tightened; not a 1 because it never explains basics Claude already knows.

2 / 3

Actionability

Gives concrete paths (memory/narrative-registry/canon.md), a named script (scripts/connectors/wayback.py), a verdict taxonomy (matches/drifted/contradicts), and a labeling scheme (Measured/User-provided/Estimated/proxy), but shows no example output artifact — the drift report table is described only in prose. Not a 3 because no concrete example of the deliverable is given; not a 1 because the guidance is specific and executable in principle.

2 / 3

Workflow Clarity

Numbered Instructions 1–7 form a clear sequence with explicit validation gates: 'If no canon record exists, stop with NEEDS_INPUT', 'where no archive exists, record an explicit no history available note', a 'Done when' checklist, and ask-before-write/trigger-only rules. Not a 2 because validation checkpoints are explicit and present for the memory-writing steps rather than missing.

3 / 3

Progressive Disclosure

The body is an overview that delegates detail to one-level-deep, clearly signaled references (skill-contract.md §Handoff Summary Format, CONNECTORS.md, SECURITY.md, tale-benchmark.md) and is organized into well-named sections. Not a 2 because references are signaled with markdown links and content is appropriately split rather than inlined as a monolith.

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.

The description is strong across the board: concrete capabilities, natural quoted triggers, explicit what-and-when guidance, and decisive negative-scoping against sibling skills. Voice is appropriately third person with no first/second-person slips.

DimensionReasoningScore

Specificity

Lists multiple concrete actions: 'produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time', 'competitor-repositioning alerts', 'an explicit repositioning-trigger condition set', and 'a D1/W1/M1 message-shift retro'. Not a 2 because it is comprehensive rather than naming only some actions.

3 / 3

Completeness

Explicit 'Use when...' clause answers when, and 'produces a drift report...' answers what, both clearly present. Not a 2 because the when-guidance is explicit, not merely implied.

3 / 3

Trigger Term Quality

Embeds natural user phrasings as quoted triggers — 'check if our surfaces have drifted from the canon', 'watch for competitor repositioning', 'define when we should reposition' — which a user would plausibly say. Not a 2 because it covers the main variations rather than only some.

3 / 3

Distinctiveness Conflict Risk

Strong negative-scoping — 'Not for the first-time consistency check... use narrative-cascade-planner; not for computing the TALE profile result... use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor' — carves a clear niche. Not a 2 because the distinct triggers and explicit redirects make conflict unlikely.

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: 36 suspicious

Warning

referenced_paths_exist

Referenced path issues: 4 missing, 4 deeper-than-1-level

Warning

Total

12

/

16

Passed

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

Table of Contents

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