BF dark-social-attributor
Use when the user asks to "figure out where our direct traffic really comes from", "measure dark social", "add a how-did-you-hear-about-us field", or "show social drives signups without click data"; produces a share-link/UTM hygiene spec for owned share surfaces, a self-reported attribution field design that replaces an existing form field (free-text first, coded later), a GA4 direct-traffic decomposition read (deep-URL directs, mobile-app skew, private-push correlation) with every derived number hard-labeled Estimated/proxy, and a branded-search-lift proxy from GSC plus Wikipedia pageviews — the declared dark-social method behind ECHO O2. Not for paid-channel attribution reconciliation (platform-claimed vs analytics conversions) — use attribution-reconciler. 暗社交归因/直接流量分解/自报来源字段/分享链路UTM
Use when the user asks to "figure out where our direct traffic really comes from", "measure dark social", "add a how-did-you-hear-about-us field", or "show…
As a process F 45/100 · Will not run — References files that are not bundled: ../../../references/echo-benchmark.md, ../../../ad/scale/attribution-reconciler/SKILL.md, ../../../email/nurture/email-sequence-designer/SKILL.md
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The text references files that are not there: add them or drop the references.
- 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-hermesdescription is 797 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
missing-refreference to a missing file: ../../../references/echo-benchmark.md - warning
missing-refreference to a missing file: ../../../ad/scale/attribution-reconciler/SKILL.md - warning
missing-refreference to a missing file: ../../../email/nurture/email-sequence-designer/SKILL.md - warning
missing-refreference to a missing file: ../../../protocol/consent-registry/SKILL.md - warning
missing-refreference to a missing file: ../../host/social-quality-auditor/SKILL.md - warning
missing-refreference to a missing file: ../social-measurement-loop/SKILL.md - warning
missing-refreference to a missing file: ../../../references/social/owned-community-loop.md - warning
missing-refreference to a missing file: ../../../protocol/channel-registry/SKILL.md - warning
missing-refreference to a missing file: ../../../references/skill-contract.md - warning
missing-refreference to a missing file: ../../../CONNECTORS.md - warning
missing-refreference to a missing file: ../../../SECURITY.md - warning
missing-refreference to a missing file: ../social-pulse-monitor/SKILL.md - warning
missing-refreference to a missing file: scripts/connectors/pageviews.py - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 45/100
- 0Tools and files. 13 referenced file(s) missing: ../../../references/echo-benchmark.md, ../../../ad/scale/attribution-reconciler/SKILL.md, ../../../email/nurture/email-sequence-designer/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
- 30Running it twice. 5 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 60Consistency. The Hermes dialect needs category and tags
- 100Steps. 24 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 2899 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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 4 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 797: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (3 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.