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Dark Social Attributor

Category: Engineering  ·  Sub-category: mobile  ·  Last updated:
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
Security AStatic scan found no risk patternsHow grading works ›

About this skill (catalog notes)

Dark Social Attributor includes pricing or quota commentary; at least one code block. The SKILL.md runs to about 1,379 words, in the catalog's typical mid-range.

License
Apache-2.0
Original author
aaron-he-zhu
Indexed lastmod
Catalog position
Engineering · mobile
Indexed related skills
10

How Dark Social Attributor fits the catalog

Dark Social Attributor sits in the Engineering category under the mobile sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

Makes the unmeasurable share loop estimable — honestly. Dark social is the traffic that arrives with no referrer because the link traveled through a DM, a group chat (微信群 / WhatsApp / Slack / Discord), a newsletter forward, or an address-bar copy. This skill declares the estimation method and specs the instrumentation; it never turns an estimate into a Measured number. It is the Observe-phase upstream of the ECHO O dark-social sub-items (see [echo-benchmark.md](../../../references/echo-benchmark.md)): dark-social method declared and Estimated-labeled before any social-ROI claim (ECHO O2) and…

What this skill does

Dark Social Attributor is a community-contributed Claude Code skill in the mobile sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/dark-social-attributor/ and loads when your prompt matches the skill's trigger.

When to invoke it: 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.

Who uses this skill

The Dark Social Attributor Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 158,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/dark-social-attributor
curl -L https://claudskills.com/skills/dark-social-attributor/SKILL.md \
  -o ~/.claude/skills/dark-social-attributor/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/dark-social-attributor/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/dark-social-attributor/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\dark-social-attributor\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Dark Social Attributor Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/dark-social-attributor/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Dark Social Attributor skill do?
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
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Dark Social Attributor skill?
Use Dark Social Attributor when your Claude Code task falls under the Engineering category — specifically in the mobile area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Dark Social Attributor" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Dark Social Attributor skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Dark Social Attributor is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
aaron-he-zhu. (2026). Dark Social Attributor [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/dark-social-attributor/
BibTeX
@misc{dark-social-attributor-2026,
  author    = {aaron-he-zhu},
  title     = {Dark Social Attributor [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/dark-social-attributor/}
}

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Security scan

Grade A · scanned 2026-07-23 — free static scan against the OWASP Agentic Skills Top 10.

The scan flagged 1 of 10 categories (filesystem), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.

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