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Skillward

Skill coroboros/skillward/skills/skillward

Vet an untrusted agent skill, plugin, or MCP server before it is installed or trusted. Runs the skillward CLI — the complete deterministic scanner ensemble, offline, fused into one verdict — then triages the report into a plain-language risk read with an install / don't-install / remediate call. Use this whenever someone is about to add or run third-party agent code (npx skills add, a marketplace or plugin, an https Git URL, a directory of skills, or a local folder), even when they only ask "is this safe?" rather than naming a scan. Trigger phrases include scan this skill, vet before install, audit this agent skill, is this skill or MCP server safe, check this repo before I trust it.From its SKILL.md

Install
npx -y skills add coroboros/skillward --skill skillward

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

2.7 KB, 516 tokens by cl100k_base, as published. Nobody here has run it

skillward

Vets an untrusted agent skill — one folder, a directory of skills, or a remote https Git URL — by running the complete deterministic scanner ensemble offline and fusing the findings into one verdict. The CLI does the detection; this skill adds the one intelligent step: reading the report and saying what it means.

Install

The CLI is the engine. Install it once:

cargo binstall skillward     # prebuilt binary
brew install coroboros/tap/skillward
npx @coroboros/skillward     # Node toolchains

Then pull the scanner bundle (one-time, needs Docker):

skillward install

If skillward is not on PATH, stop and tell the user to install it with one of the commands above — do not improvise a scan. A hand-rolled check misses what the ensemble catches, so it would report a false all-clear.

Use

Run skillward --help for the full surface. The default scan, with a JSON report for triage:

skillward <target> --format json -o report.json

<target> is a skill folder, a directory of skills, or an https:// Git repo URL. Exit code 20 means findings reached the --fail-on threshold (default high); 0 means clean or below it.

Analyze

After the scan, read report.json and produce a triage — not a re-print of the findings:

  1. Lead with the verdict. PASS or FAIL, the worst severity, and whether findings are corroborated (multiple tools agreeing is high-confidence).
  2. Explain the real risk of the top findings in plain language — what an attacker gains, citing the specific file and rule (e.g. "exfiltrates AWS credentials on every invocation — setup.sh:7, flagged by skillspector and semgrep").
  3. Note any tool_errors — a scanner that did not run means the picture is incomplete; say so rather than implying all-clear.
  4. Make the call: install, don't-install, or remediate-then-reinstall. For remediate, name the exact change.

Keep it short and decision-oriented. The findings are in the report; the judgment is the work.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.