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AD cid-tracking

国内二类电商 CID 投流追踪技能，支持抖音巨量引擎、快手磁力引擎、腾讯广点通。提供 Click ID 生成、转化回传、ROI 分析、数据看板、异常监控功能，输出专业 Excel 报表。Use when: (1) 管理多平台广告投流数据，(2) 生成 CID 追踪报表，(3) 分析广告 ROI 和转化效果，(4) 监控异常广告计划，(5) 自动化日报周报。

ClawHub Agent Skills author: zhaohang497-tech v1.0.0 MIT-0 16 files body ≈ 707 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
81
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-high-entropy-token references/cid_best_practices.md:24
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      2026…012
      placeholder

    Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: 国内二类电商 CID 投流追踪技能，支持抖音巨量引擎、快手磁力引擎、腾讯广点通。提供 Click ID 生成、转化回传、ROI 分析… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 46/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 28 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 707 tokens
    • 100Running it twice. No mutating operations
    • low 10 top-level sections: this looks like several domains in one skill

    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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 179: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 6 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a disclosed ad-tracking and reporting toolkit, but it should be used carefully because it handles ad credentials and conversion data.
    LLM: benign (high) · VirusTotal: · 29 May 2026