Publisher
7 published skills, 9 installs in total.
Route validation by changed boundaries and risk, choosing the smallest sufficient checks for code, docs, UI, data, auth, sync, build, security, and release work. Use when deciding test commands, reducing unnecessary full-suite runs, auditing test layering, or documenting what was and was not verified.
Audit an AI agent's reachable data, external data paths, and untrusted instructions, then explain the result in plain language with Low, Medium, High, or Critical severity. Use when a user asks what an agent can see, where data may go, whether a skill, plugin, or tool is safe, or how to reduce agent privacy risk across Codex, Claude Code, or another agent.
Repair Codex Desktop sessions that fail after switching model providers or importing/forking old conversations. Use this skill whenever a user mentions an old Codex session becoming invalid, “model provider not found”, “Codex cannot load config.toml”, remote context compaction 404s, “Item with id rs_... not found”, repeated reconnecting during resume, or a migrated Codex conversation that cannot continue—even when the user only asks to inspect or explain the failure. Diagnose the target session across its JSONL rollout, root state_5.sqlite, config.toml, and logs_2.sqlite, then make a target-scoped backup-first repair with verification and restart instructions.
Review a public repository release across version and tag consistency, final build artifacts, archives, secrets and internal material, third-party licenses, production response headers, and GitHub Release attachments. Use when the user asks to publish, create a tag or Release, verify a launch, or run the complete public-release gate, adapting checks to the project's configuration.
Run the public-repository gates for Git commits, pushes, and pull requests. Check staged and untracked scope, secrets and personal data, internal material, branches and remotes, PR base/head, CI, and merge prerequisites. Use when the user asks to commit, push, open a PR, review public repository content, or run the complete public-repository gate.
Internationalize the user-facing language layer of a GitHub repository, including its repository description, repository topics, README files, release notes, changelogs, and other explicitly selected documentation, with English as the default and any user-requested locales as mirrors. Use when a user asks to translate, localize, add language mirrors, or check cross-locale parity for a GitHub repository. Confirm the exact document and metadata scope when it is not explicit, identify existing locales, preserve facts, code, commands, links, images, and structure, and provide local Markdown plus GitHub-style previews. Do not use for product UI or runtime i18n, database content, visual README redesign or assets, public-release suitability or security scans, Issue or PR label taxonomies, Git tags, or Git, PR, release, deployment, or production operations.
Analyze local Codex session telemetry and produce privacy-safe efficiency reports with actionable workflow recommendations. Use when the user asks to run Codex Doctor, inspect Codex productivity, diagnose context bloat, repository exploration, validation or retry patterns, compare recent sessions, or interpret a codex-efficiency-report HTML/JSON file. Default to local telemetry-only analysis; use the optional compact AI diagnosis only when the user explicitly requests AI interpretation.
Every published skill from wardlu. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.
Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.
A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.