Health Wellness
sickn33/agentic-awesome-skills
Wellbeing check-in register: anonymous flag, department, check-in date, wellbeing score, stress and energy levels, support and resource flags, confidentiality and status.
Audit an existing CLI against cli-build: how well an agent can operate it and how well a human can read it.
$ npx skills add crafter-station/skills --skill cli-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install crafter-station/skills cli-audit --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/crafter-station/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cli-audit .claude/skills/cli-audit && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cli-audit" agent skill from https://github.com/crafter-station/skills/tree/main/skills/cli-audit into .claude/skills/cli-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-audit", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/crafter-station/skills/tree/main/skills/cli-auditType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add crafter-station/skills --skill cli-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install crafter-station/skills cli-audit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/crafter-station/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cli-audit .agents/skills/cli-audit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cli-audit" agent skill from https://github.com/crafter-station/skills/tree/main/skills/cli-audit into .agents/skills/cli-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-audit", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add crafter-station/skills --skill cli-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install crafter-station/skills cli-audit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/crafter-station/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cli-audit .cursor/skills/cli-audit && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cli-audit" agent skill from https://github.com/crafter-station/skills/tree/main/skills/cli-audit into .cursor/skills/cli-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-audit", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/crafter-station/skills.git --path skills/cli-audit--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add crafter-station/skills --skill cli-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install crafter-station/skills cli-audit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/crafter-station/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cli-audit .gemini/skills/cli-audit && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cli-audit" agent skill from https://github.com/crafter-station/skills/tree/main/skills/cli-audit into .gemini/skills/cli-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-audit", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install crafter-station/skills cli-auditInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add crafter-station/skills --skill cli-audit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/crafter-station/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cli-audit .github/skills/cli-audit && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cli-audit" agent skill from https://github.com/crafter-station/skills/tree/main/skills/cli-audit into .github/skills/cli-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-audit", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add crafter-station/skills --skill cli-audit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install crafter-station/skills cli-audit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/crafter-station/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cli-audit .opencode/skills/cli-audit && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cli-audit" agent skill from https://github.com/crafter-station/skills/tree/main/skills/cli-audit into .opencode/skills/cli-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cli-audit", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cli-auditAudit an existing CLI against cli-build: how well an agent can operate it and how well a human can read it.
CLI Audit is an agent skill from crafter-station/skills. Audit an existing CLI against cli-build: how well an agent can operate it and how well a human can read it. Use when the user wants to audit a CLI, check whether a tool is agent-first, find out what a published CLI got wrong, grade a CLI's human output, verify that named safety features are actually wired, or prepare a patch list before improving an existing command-line tool. Reports findings with evidence; it does not patch.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/checks.md`, `scripts/audit.sh` and `scripts/coverage.sh`).
The repository describes itself as: Agent skills extracted from real work. Each one shipped something first. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f0fe474. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
bunFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
CLI Audit loads about 3k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 1,810 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from crafter-station/skills at commit f0fe474, republished under its MIT licence (© crafter-station). 1,810 words, ~3,005 tokens.
.claude/skills/cli-audit/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Audit a CLI that already exists against the rules in cli-build. The output is a findings list with evidence, not a score.
cli-build builds. This reads what was built and says where it drifted from what it claims.
The founding case of cli-build's human-output.md is a CLI that passed every mechanical gate and was unreadable: 275 rows for someone who asked what was playing that evening, a percentage that read backwards, one title repeated fourteen times. No gate failed.
A number over that CLI would have read as healthy. That is the exact failure this skill exists to avoid, so it produces no number. A run yields three streams and they never merge:
| Layer | Decided by | Output |
|---|---|---|
| Deterministic | scripts/audit.sh | PASS / FAIL / NA / SKIP per check, with the evidence inline |
| Semi | script produces evidence, you read the verdict | finding or cleared, with the evidence quoted |
| Judgment | you, reading real output | finding or cleared, with the output pasted |
A clean deterministic run is not a clean CLI. Say that in the report every time, because the reader will otherwise take the passes as the answer.
Weighting these into one number needs thresholds calibrated against a distribution, and no such distribution has been measured. Inventing weights here would repeat the mistake human-output.md names about scale cutoffs: instinct-picked buckets that never discriminate. When enough CLIs have been audited to know the real spread, that is when a score becomes possible, not before.
Most checks in cli-build are conditional. Running all of them against every CLI reports absences as defects when they were deliberate decisions, which trains the reader to skim the findings. Resolve these before running anything, and write each answer into the report:
--dry-run, killswitch, intent tokens, consent gates) is NA, and its absence is compliant. cli-build Phase 4 says so explicitly, and says the decision should be recorded rather than skipped. Look for that record before calling it an omission.human-output.md is void.--wait and the job ledger.Everything sourced from compounding-surface.md (--wait, vocabulary in CI, --deliver, feedback) is labeled in cli-build itself as coming from published work rather than the measured corpus. Report a gap there as a gap against a recommendation, and say which kind it is.
Done when: all six are answered in writing, and the check groups they switch off are named.
scripts/audit.sh --repo <package-root> [--bin <installed-command>] [--json]Without --bin only the static checks run and every runtime check reports SKIP. That is a materially weaker audit: cli-build Phase 6 is explicit that running a source file verifies a file while running the installed name verifies what ships — the bin entry, the shebang, the resolved dependencies, the banner. Link it first:
cd <package-root> && bun link # or npm link
scripts/audit.sh --repo . --bin <name>Read references/checks.md for what each id means and where in cli-build it comes from. Every id traces to a line in the source skill; none were invented here.
A FAIL is a fact, not yet a finding. It becomes a finding when you have confirmed it applies given step 0. A FAIL on home-override in a CLI with no tests is noise.
Verify every claim of absence before it reaches the report. The first run of this skill produced four false absences out of five instrument bugs: an audit log with 41 call sites reported as "no audit log in this CLI", twice, under two different name guesses. A FAIL saying a feature is missing is the one output a reader cannot check cheaply, so it is the one that must be checked before it ships. Open the file and look.
The rule that came out of it: a check that resolves a feature by guessing its function names will eventually announce that the feature does not exist. Resolve the module, read the names it exports, then look for those names elsewhere. An export list cannot be wrong about itself.
Run the script against a second, unrelated CLI whenever you change it. Three of those five bugs were invisible against the CLI the check was written for and appeared immediately against another.
Done when: every non-PASS line is either promoted to a finding or dismissed with the conditional gate that excuses it, and every claim of absence has been confirmed by reading the code.
scripts/coverage.sh --bin <name> --max-depth 4This walks the CLI's own --help tree and reports how many leaf commands exist. Run it before the judgment layer so you know the size of the job, and again at the end with the list of what you actually ran:
scripts/coverage.sh --bin <name> --max-depth 4 --exercised exercised.txt
# Coverage of sunat-cli: 27 of 80 leaf commands exercised (33%)exercised.txt holds one command per line as invoked, without the binary name. Entries matching no command in the surface are counted separately and reported, because a stale note silently inflating coverage is the failure this artifact exists to prevent.
The ratio goes in the report. An audit of four commands and an audit of sixty produce prose that reads identically; this session's first pass covered 4 of 80 and the gap surfaced only because the reader asked. A number the report cannot omit turns partial coverage from a disclaimer into a fact.
Low coverage is often correct — most of what goes unexercised in a consequential CLI is the write path, and not running it is the right call. Say which it is: deliberate, or not reached.
Done when: the surface size is known before judging, and the final ratio plus the not-exercised list are in the report.
These need evidence a script can produce and a verdict only a reader can give.
<cli> --help, or the schema command), list every noun-verb pair, and look for the verb the rest of the surface does not use. info where everything else says get costs an agent a --help round trip.--dry-run exercises the real path. Run it twice with different valid inputs. If the output does not vary with the input, it is a hardcoded shape and proves nothing. The strongest corpus implementation calls the provider's own preview endpoint..length > visibleWidth.Done when: each applicable item is a finding with its evidence quoted, or cleared with what you ran.
Run the CLI and read its real output. Not --help, not the tests: the output a person gets. Read it twice, once for correctness and once as someone who does not know the domain.
Read cli-build's human-output.md with the terminal open, and ask its questions against what is on screen:
--help read as the first screen of the product, or as a reference appendix?One rule here cannot be fixed by writing it down. human-output.md records that the metric-direction inversion came back in new code written after it was documented. The defense that held was a named helper with regression tests. When you find a directional metric, the finding is not "document the direction" — it is "extract a named helper and test it."
Done when: the real output has been read and pasted into the report, and each question above is answered against it.
Group findings by what it costs to fix, not by which layer found them. The reader wants to know what to patch, and the layer is provenance.
Every finding carries:
file:line;cli-build;Two things the report must say out loud:
SKIP because the CLI was not linked. Silence about a skipped group reads as a pass.Write the report to reports/<cli-name>-<date>.md in this skill, so the next audit of the same CLI can diff against it.
Done when: the report exists, names its own blind spots, and every finding cites evidence that can be re-run.
This skill reports; it does not patch. Auditing and fixing in one pass loses the record of what was wrong, and the record is what makes the next audit cheap. Patch in a separate cycle, against the report.
Adoption is not a check. Whether a CLI uses cligentic blocks measures adoption, not quality. cli-build Phase 3 accepts a rejection with a reason, and names the strongest one: a published output contract outranks a shared block. Penalizing a reasoned rejection would contradict the skill being audited.
Findings about someone else's package drop the subject and keep the defect. A case about a CLI Hunter wrote can be specific about what broke. See cli-build's cases/README.md.
© crafter-station, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/cli-audit of crafter-station/skills.
Open the folder on GitHubat commit f0fe474
CLI Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| CLI Audit this skillcrafter-station/skills | 112 | — | ~3k | Automated safety check: Pass | MIT | |
| Health Wellnesssickn33/agentic-awesome-skills | 47k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| AWS Well Architected Reviewgithub/awesome-copilot | 40k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Azure Well Architected Reviewgithub/awesome-copilot | 40k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Write Wellbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~4.1k | Automated safety check: Pass | Custom licence | |
| Wellness Planmohitagw15856/pm-claude-skills | 1.4k | — | ~902 | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Wellbeing check-in register: anonymous flag, department, check-in date, wellbeing score, stress and energy levels, support and resource flags, confidentiality and status.
github/awesome-copilot
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
github/awesome-copilot
Perform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
brycewang-stanford/Auto-Empirical-Research-Skills
Prose quality checker for Quarto (.qmd) files, grounded in William Zinsser's On Writing Well (30th Anniversary Edition).
mohitagw15856/pm-claude-skills
Build a preventive-care (wellness) plan for a pet by species, breed, and life stage.
aws/agent-toolkit-for-aws
Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to…
crafter-station/skills
Set up hierarchical Intent Layer (AGENTS.md files) for codebases.
crafter-station/skills
Release a new version of an Obsidian community plugin without forgetting steps.
crafter-station/skills
Deprecated. An agent skill from crafter-station/skills.
crafter-station/skills
Generate OG images and favicon based on project branding. An agent skill from crafter-station/skills.
crafter-station/skills
Design and build a CLI that an AI agent can operate safely and a human can supervise.
crafter-station/skills
Compile a mapped surface into working interfaces and keep them alive as the target changes.
Audit an existing CLI against cli-build: how well an agent can operate it and how well a human can read it. CLI Audit is an agent skill from crafter-station/skills. Audit an existing CLI against cli-build: how well an agent can operate it and how well a human can read it.
CLI Audit fits situations like: the user wants to audit a CLI; check whether a tool is agent-first; find out what a published CLI got wrong; grade a CLIs human output.
Run `npx skills add crafter-station/skills --skill cli-audit -a claude-code`. Or copy the skill folder (skills/cli-audit in crafter-station/skills) into .claude/skills/cli-audit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add crafter-station/skills --skill cli-audit -a codex`. Or copy the skill folder (skills/cli-audit in crafter-station/skills) into .agents/skills/cli-audit in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add crafter-station/skills --skill cli-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cli-audit, .gemini/skills/cli-audit, .github/skills/cli-audit and .opencode/skills/cli-audit in your project.
Going by SKILL.md and its folder, CLI Audit needs a shell for the scripts in its folder and the command-line tools its instructions call (bun). Our summary lists: A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
CLI Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with CLI Audit: Health Wellness (sickn33/agentic-awesome-skills, 47k stars), AWS Well Architected Review (github/awesome-copilot, 40k stars), Azure Well Architected Review (github/awesome-copilot, 40k stars) and Write Well (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
crafter-station (a GitHub organization) maintains it in crafter-station/skills, which has 112 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 7, 2026.
Source: crafter-station/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.