skills/memory-publication-auditor/SKILL.md
Audit private skills, memories, notes, or operational logs before turning them into public skills, templates, docs, or reusable patterns. Use when scanning personal/private memory for publishable knowledge, redaction needs, privacy risks, source-visibility leaks, or PR-ready public skill candidates.
npx skillsauth add a-green-hand-jack/ml-research-skills memory-publication-auditorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Audit private experience before publication. This skill answers: Which private memory or skill content can become public knowledge, and what must stay private or be redacted?
This is not a copying skill. It is a conservative sieve: private material comes in, sanitized reusable patterns may come out.
<installed-skill-dir>/
├── SKILL.md
├── scripts/
│ └── scan_publication_candidates.py
├── references/
│ └── classification-policy.md
└── templates/
├── audit-report.md
└── publication-candidate.md
private-only or needs-human-review when uncertain..agent/publication-audits/.private-only: cannot be published, even with light edits.redactable: useful pattern exists, but private identifiers or context must be replaced.publishable: safe as written, after normal quality review.reusable-pattern: abstract method, workflow, checklist, or diagnostic pattern worth turning into a public skill/template.needs-human-review: ambiguous ownership, privacy, copyright, collaborator, or unpublished-project risk.references/classification-policy.md.python3 <installed-skill-dir>/scripts/scan_publication_candidates.py \
--input <private-path> \
--output .agent/publication-audits/<audit-id>/audit.md
templates/publication-candidate.md and replace all private specifics with placeholders.skill-system-auditor to check collection fit before addingupdate-docspersonalization-memoryresearch-project-memory<host>, <target-ip>, <project-root>, <user>, <cluster>, and <private-path>.testing
Bootstrap project-local ml-research-skills. Use from global installs when creating a new ML research project, enabling this collection in an existing ML research repo, or deciding whether to install the full bundle locally. Route to project-init for new projects; do not handle paper or experiment work directly.
development
Route project operations tasks — git, memory, bootstrap, remote, workspace, code review, timeline, ops — to the correct skill. Use when the task involves commits, pushes, worktrees, project memory, enabling project-local skills, SSH/server coordination, sidecar runners, or audits. Do not solve the ops task directly.
testing
Route ML/AI paper writing tasks to the correct skill — contract planning, prose drafting, section writing, consistency editing, review simulation, rebuttal, submission, or citation work. Use when the task involves writing, revising, reviewing, or submitting a paper instead of guessing between paper-writing-assistant, paper-writing-contract-planner, paper-reviewer-simulator, auto-paper-improvement-loop, or citation skills. Do not draft prose directly.
data-ai
Project-local router for ML research skill selection. Use inside an initialized ML research project, or while maintaining this skill repo, when the user describes an ML research/paper/experiment/discovery/ops/release workflow and may not know the skill; route to a domain router or high-signal leaf. Do not use for generic non-ML projects.