SEO Article Pipeline
v1.1.2End-to-end SEO article pipeline for any blog. Research keywords → analyze competition → write article → generate images → fact-check → humanize → assemble →...
⭐ 1· 285·1 current·1 all-time
byJean-Solopreneur@nirusan
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The skill is an end-to-end SEO pipeline and the only external credential it requests is DATAFORSEO_LOGIN/DATAFORSEO_PASSWORD, which are directly used by the included research script to call api.dataforseo.com. Required binaries and files (a shell script and markdown checklists) are consistent with keyword research and article assembly.
Instruction Scope
SKILL.md instructs the agent to run the included research script and to use web_search/web_fetch to fetch top results and primary sources; it also instructs scraping the user's documentation or repo when writing about the user's product. This is coherent for producing accurate articles, but it means the agent will read workspace content (docs, changelogs, source) if present — users should be aware of what workspace data the agent can access.
Install Mechanism
No install spec — instruction-only with an included bash script. The script uses curl and python3 to call DataForSEO and Google Suggest APIs. No downloads from arbitrary URLs or archive extraction are present.
Credentials
Only DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD are required, which match the calls in scripts/research-keyword.sh. No unrelated secrets or system config paths are requested.
Persistence & Privilege
always is false and the skill is user-invocable (normal). The skill does not request persistent/system-wide privileges or modify other skills' configs.
Assessment
This skill appears internally consistent, but review these before installing: 1) It will call external APIs (api.dataforseo.com and Google Suggest) using the DATAFORSEO credentials you provide — only supply credentials you trust and consider using a limited/rotatable account. 2) The agent is instructed to read your workspace (docs, repo, changelogs) when writing about your product — ensure you are comfortable with the agent accessing those files or restrict workspace access. 3) The included script uses curl and prints results to stdout; no obfuscated or network-exfiltration code is present, but you should still inspect any workspace files the agent might read for sensitive info. 4) After use, rotate API credentials if you provided long-lived secrets. If you need higher assurance, run the research script manually in an isolated environment or audit network calls/logs during an initial run.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
EnvDATAFORSEO_LOGIN, DATAFORSEO_PASSWORD