SKILLEMALL.ai

BF category-narrative-mapper

Use when the user asks to "map the category narrative", "tear down how competitors tell their story", or "find the language conventions in our market"; produces a category narrative map — the dominant stories and points of view in the category, its language conventions and framing clichés, and a per-competitor narrative teardown (arc, claimed onlyness, proof pattern) plus how each rival's messaging has shifted over time (scraped copy vs archived copy). Not for the positioning canvas itself — use positioning-mapper; not for the beachhead's beliefs and objections — use audience-belief-mapper; not for SERP keyword targeting — use keyword-research; not for claim adjudication — use offer-claims-registry. 品类叙事/竞争叙事拆解/语言惯例/叙事演变

ClawHub Hermes author: Aaron Zhu v19.0.0 MIT-0 3 files body ≈ 2 759 tokens Open the sourceclawhub.ai analyzed 20 h ago

produces a category narrative map — the dominant stories and points of view in the category, its language conventions and framing clichés, and a…

As a process F 47/100 · Will not run — References files that are not bundled: ../../../references/tale-benchmark.md, ../../evaluate/narrative-quality-auditor/SKILL.md, ../../../launch/research/positioning-mapper/SKILL.md

GeneratorMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: ../../../references/tale-benchmark.md, ../../evaluate/narrative-quality-auditor/SKILL.md, ../../../launch/research/positioning-mapper/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 730 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: ../../../references/tale-benchmark.md
  • warning missing-ref reference to a missing file: ../../evaluate/narrative-quality-auditor/SKILL.md
  • warning missing-ref reference to a missing file: ../../../launch/research/positioning-mapper/SKILL.md
  • warning missing-ref reference to a missing file: ../audience-belief-mapper/SKILL.md
  • warning missing-ref reference to a missing file: ../../../seo-geo/survey/keyword-research/SKILL.md
  • warning missing-ref reference to a missing file: ../positioning-truth-tracer/SKILL.md
  • warning missing-ref reference to a missing file: ../../../protocol/offer-claims-registry/SKILL.md
  • warning missing-ref reference to a missing file: ../../../seo-geo/survey/competitor-analysis/SKILL.md
  • warning missing-ref reference to a missing file: ../../../protocol/narrative-registry/SKILL.md
  • warning missing-ref reference to a missing file: ../../../references/skill-contract.md
  • warning missing-ref reference to a missing file: ../../../CONNECTORS.md
  • warning missing-ref reference to a missing file: ../../../SECURITY.md
  • warning missing-ref reference to a missing file: ../../architect/brand-language-codifier/SKILL.md
  • warning missing-ref reference to a missing file: ../../evaluate/narrative-drift-monitor/SKILL.md
  • warning missing-ref reference to a missing file: scripts/connectors/firecrawl.py
  • warning missing-ref reference to a missing file: scripts/connectors/tavily.py
  • warning missing-ref reference to a missing file: scripts/connectors/wayback.py
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: ../../../references/tale-benchmark.md, ../../evaluate/narrative-quality-auditor/SKILL.md, ../../../launch/research/positioning-mapper/SKILL.md
  • 0Tools and files. 17 referenced file(s) missing: ../../../references/tale-benchmark.md, ../../evaluate/narrative-quality-auditor/SKILL.md, ../../../launch/research/positioning-mapper/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 40Result and completion. Does not say what the result is
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 23 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 2759 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 730: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a coherent marketing research helper that uses public competitor messaging and optional saved notes without hidden or disproportionate behavior.
LLM: benign (high) · VirusTotal: · 24 Jul 2026