skill-marketplace-publisher
Publish a Codex or Claude skill to Skillstore, SkillMap, or similar public skill marketplaces. Use when you need to audit a skill for public safety, build a public package, create a public GitHub repo, or submit a repo URL to marketplace intake endpoints.
What this skill does
# Skill Marketplace Publisher ## Overview Use this workflow when a local skill should become a public, reviewable marketplace submission. It covers four things end-to-end: public-safety audit, public packaging, GitHub publication, and marketplace submission. This skill is optimized for: - `Skillstore` self-serve submission - `SkillMap` listing request via its current public intake channels - any future marketplace that expects a public GitHub repo with a valid `SKILL.md` ## Required Inputs Before running the workflow, confirm: 1. the source skill path 2. the target marketplace list 3. the public GitHub repo owner/name 4. whether the source skill is already public-safe or must be packaged in `public` mode first If the user asks to publish a skill but does not say otherwise, assume: - target mode: `public` - source of truth stays in `ai-shared/skills/` - packaged output goes to `ai-shared/skill-packages/` ## Workflow ### Step 1: Audit Public Safety Run the local scanner first. It looks for secrets, local absolute paths, secret-hub references, and obvious non-portable material. ```bash python3 scripts/public_skill_audit.py /absolute/path/to/skill ``` Interpretation: - no `HIGH` findings: okay to continue - `HIGH` findings: stop and sanitize first - `MEDIUM` findings: review manually before publishing If the skill references shared secrets, local private paths, or owner-only runtime assumptions, do not publish the source folder directly. ### Step 2: Decide Source vs Public Package If the skill is already self-contained and clean, you may publish the source skill directory directly. If the skill is not obviously portable, package it in `public` mode: ```bash python3 ../../skill-package/scripts/skill_package.py analyze /absolute/path/to/skill python3 ../../skill-package/scripts/skill_package.py build /absolute/path/to/skill --mode public ``` Use the packaged output as the publishable artifact for marketplaces. Default packaged output root is the shared `skill-packages/` directory configured by the local `skill-package` workflow. ### Step 3: Validate Skill Metadata Public submissions should include: - a valid `SKILL.md` with frontmatter `name` and `description` - supporting files referenced by the skill - `agents/openai.yaml` when available - a permissive repo-level license such as `MIT` or `Apache-2.0` Validate the skill structure before publishing: ```bash python3 ../skill-creator/scripts/quick_validate.py /absolute/path/to/skill-marketplace-publisher ``` For the target skill, at minimum manually confirm: - `SKILL.md` loads cleanly - referenced scripts and documents exist - no broken relative links remain after packaging ### Step 4: Publish to a Public GitHub Repo Create a clean git repo that contains either: - the source skill folder, or - the public package output Typical flow: ```bash mkdir -p /path/to/public-repo rsync -a /path/to/publishable-artifact/ /path/to/public-repo/ cd /path/to/public-repo git init git checkout -b main git add . git commit -m "Publish skill for marketplace submission" gh repo create <owner>/<repo> --public --source=. --remote=origin --push ``` If the skill lives inside a larger repo, marketplaces that support subdirectory URLs can accept a path such as: ```text https://github.com/<owner>/<repo>/tree/main/path/to/skill ``` ### Step 5: Submit to Skillstore Skillstore has a real self-serve intake endpoint. Submit the public repo or public subdirectory URL: ```bash python3 scripts/submit_marketplace.py skillstore \ --repo-url https://github.com/<owner>/<repo>/tree/main/path/to/skill \ --notes "Public-safe skill package prepared on 2026-03-26." ``` Expected result: - JSON response with `success` - a `submission_id` - a status URL of the form `https://skillstore.io/submissions/<id>` Save the submission ID and URL in the final delivery note. ### Step 6: Send SkillMap Listing Request As of `2026-03-26`, SkillMap exposes public marketplace pages and public feedback/contact channels, but no clearly documented self-serve “publish skill” form was verified. Use the feedback endpoint to send a listing request that includes: - the public GitHub repo URL - the skill summary - installation notes if relevant ```bash python3 scripts/submit_marketplace.py skillmap-feedback \ --repo-url https://github.com/<owner>/<repo>/tree/main/path/to/skill \ --skill-name <skill-name> \ --email [email protected] ``` If needed, also use the contact email listed in `references/marketplaces.md`. ### Step 7: Record Outcome For each marketplace, record: - submitted URL - submission/request timestamp - returned submission ID or acknowledgement - pending manual follow-up items Formal delivery notes should be written to the user-facing outbox, not pasted only in chat. ## Decision Rules - If the source skill contains any real secrets or private business logic, do not publish the source directly. - If the skill depends on local-only files, prefer packaged `public` output. - If the marketplace accepts only a repo URL, publish a dedicated clean repo. - If the marketplace accepts a subdirectory URL, you may publish only the skill subtree. - If a marketplace name cannot be verified with a public live submission path, mark it `unverified` and do not pretend it is a supported route. ## Current Marketplace Notes Read these before claiming a marketplace is supported: - `references/marketplaces.md` Key current state: - `Skillstore`: verified live submission route - `SkillMap`: verified live marketplace plus verified public intake channels, but no confirmed self-serve listing form - `CrowdHub`: unverified for this workflow as of `2026-03-26` ## Scripts ### `scripts/public_skill_audit.py` Checks a skill tree for: - likely secret values - local absolute paths - secret-hub references - obvious non-portable content ### `scripts/submit_marketplace.py` Supports: - `skillstore` submission - `skillmap-feedback` listing request ## References - `references/marketplaces.md`: dated marketplace research and current submission paths
Related in Security
mac-ops
IncludedComprehensive macOS workstation operations — diagnose kernel panics, identify failing drives, audit launchd startup items, decode wake reasons, triage TCC permission denials, manage APFS snapshots, recover from no-boot. Use for: Mac is slow, slow bootup, won't boot, kernel panic, kernel_task hot, mds_stores CPU, photoanalysisd, cloudd, login loop, gray screen, sleep wake failure, drive failing, IO errors, APFS snapshots eating space, Time Machine local snapshots, Spotlight indexing, launchd, LaunchAgent, LaunchDaemon, login items, TCC permissions, Full Disk Access, Screen Recording denied, Gatekeeper, quarantine, com.apple.quarantine, app is damaged, helper tool, /Library/PrivilegedHelperTools, pmset, wake reasons, dark wake, sysdiagnose, panic.ips, DiagnosticReports, configuration profile, MDM profile, remote diagnostics over SSH.
a11y-audit
IncludedRun accessibility audits on web projects combining automated scanning (axe-core, Lighthouse) with WCAG 2.1 AA compliance mapping, manual check guidance, and structured reporting. Output is configurable: markdown report only, markdown plus machine-readable JSON, or markdown plus issue tracker integration. Use this skill whenever the user mentions "accessibility audit", "a11y audit", "WCAG audit", "accessibility check", "compliance scan", or asks to check a web project for accessibility issues. Also trigger when the user wants to verify WCAG conformance or map findings to a specific standard (CAN-ASC-6.2, EN 301 549, ADA/AODA).
erpclaw
IncludedAI-native ERP system with self-extending OS. Full accounting, invoicing, inventory, purchasing, tax, billing, HR, payroll, advanced accounting (ASC 606/842, intercompany, consolidation), and financial reporting. 413 actions across 14 domains, 43 expansion modules. Constitutional guardrails, adversarial audit, schema migration. Double-entry GL, immutable audit trail, US GAAP.
assess
IncludedAssesses and rates quality 0-10 across multiple dimensions (correctness, maintainability, security, performance, testability, simplicity) with pros/cons analysis. Compares against project conventions and prior decisions from memory. Produces structured evaluation reports with actionable improvement suggestions. Use when evaluating code, designs, architectures, or comparing alternative approaches.
spring-boot-security-jwt
IncludedProvides JWT authentication and authorization patterns for Spring Boot 3.5.x covering token generation with JJWT, Bearer/cookie authentication, database/OAuth2 integration, and RBAC/permission-based access control using Spring Security 6.x. Use when implementing authentication or authorization in Spring Boot applications.
code-hardcode-audit
IncludedDetect hardcoded values, magic numbers, and leaked secrets. TRIGGERS - hardcode audit, magic numbers, PLR2004, secret scanning.