directory-submissions
directory-submissions is a Link building & digital PR skill for AI agents, published by coreyhaines31 in the marketingskills repository on GitHub. Skillspace rates directory-submissions D (62/100) and it passed the safety scan; a judge model has also reviewed it.
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 49,936
Placed #1 of 6 in the judged category final for Link building & digital PR.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 6 in the judged category final for Link building & digital PR.
- Trigger
85 85 - Instructions
90 90 - Specificity
90 90 - Safety
75 75 - Disclosure
82 82 - Maintenance
68 68
Exceptionally thorough directory-submission playbook with a hard nine-point readiness gate, concrete asset and schema specs, and cited conversion stats, pushing its exhaustive catalog into reference files.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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