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elias-didoo

Meta Ads Drop Diagnosis

by elias-didoo · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ Security Clean
114
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Install in OpenClaw
/install meta-ads-drop-diagnosis
Description
[Didoo AI] Diagnoses sudden performance drops in Meta Ads campaigns. Use when CTR, ROAS, or conversions suddenly decline with no obvious explanation, or when...
Usage Guidance
This skill appears coherent and limited to reading Meta Ads data. Before enabling it, confirm you will provide a read-only Meta access token (ads_read) and the correct ad account id. Prefer short-lived tokens and avoid granting broader scopes. Note the skill stores brief diagnosis text in session context (primary_root_cause and recovery_plan) — verify your environment's session retention and who can read those keys. The skill's source is listed as unknown (homepage points to a blog); because it is instruction-only and requires no install, the technical risk is low, but treat the access token like any credential: only provide tokens you trust the agent to use and rotate them if you later revoke access.
Capability Tags
requires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name/description (Meta Ads drop diagnosis) matches the two declared requirements: META_ACCESS_TOKEN and META_AD_ACCOUNT_ID. Both are necessary and sufficient to query the Meta Graph API for campaign performance data; no unrelated credentials or tools are requested.
Instruction Scope
SKILL.md describes fetching campaign metrics, computing week-over-week changes, performing root-cause logic, producing a recovery plan, and writing two session-context keys. It does not instruct reading arbitrary system files, other environment variables, or transmitting data to endpoints other than Meta's API. The only scope creep to note is that it asks the user to generate an access token (via Graph API Explorer) but does not discuss token lifetime or storage.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded during install, which minimizes installation risk.
Credentials
Only two env vars are required: a Meta access token and the ad account id. These are directly relevant to the stated purpose. The SKILL.md recommends ads_read (read-only) scope, which is appropriate; the user should prefer short-lived/read-only tokens where possible.
Persistence & Privilege
always is false and the skill is user-invocable. It writes two session-context keys (primary_root_cause, recovery_plan) for integration with meta-ads-recommendation — this is reasonable, but you should confirm how long session context persists and which other skills or humans can access it.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install meta-ads-drop-diagnosis
  3. After installation, invoke the skill by name or use /meta-ads-drop-diagnosis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Added homepage, metadata.openclaw.requires.env, OAuth scope for credential clarity
v1.0.0
Initial release
Metadata
Slug meta-ads-drop-diagnosis
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Meta Ads Drop Diagnosis?

[Didoo AI] Diagnoses sudden performance drops in Meta Ads campaigns. Use when CTR, ROAS, or conversions suddenly decline with no obvious explanation, or when... It is an AI Agent Skill for Claude Code / OpenClaw, with 114 downloads so far.

How do I install Meta Ads Drop Diagnosis?

Run "/install meta-ads-drop-diagnosis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Meta Ads Drop Diagnosis free?

Yes, Meta Ads Drop Diagnosis is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Meta Ads Drop Diagnosis support?

Meta Ads Drop Diagnosis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Meta Ads Drop Diagnosis?

It is built and maintained by elias-didoo (@elias-didoo); the current version is v1.1.0.

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