Agent skill · NVIDIA
skill-card-generator
Use only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing, or discussing skill capabilities.
What it needs
About 3k tokens when loaded.
What this skill does
Generate Skill Card Skill directory to analyze: $ARGUMENTS Purpose Create a draft NVIDIA governance skill card for an existing agent skill. The skill gathers source signals, guides the agent to build a grounded JSON context, renders a deterministic markdown card, and checks that human-review markers were removed before submission. Use this when: A skill directory already exists and needs a new governance card. A changed skill needs its existing card refreshed. A skill owner is preparing legal/safety review material. Do NOT use for: Explaining, listing, comparing, or discussing skills or skill capabilities. Creating or rewriting the source skill itself. Generating cards for non-skill assets such as models, datasets, containers, or full systems. Signing, publishing, or approving a skill card. Replacing required human legal, safety, or owner review. Prerequisites Python 3 is available. jinja2 is installed before running rendercard.py. The target path is a skill directory containing SKILL.md or skill.md. The agent can write a temporary context JSON file and the rendered card output. Runtime permissions allow reads from targetskilldirectory plus this skill's references/ and scripts/, writes only to the target skill directory or /tmp/, and shell execution only for the three scripts listed below. Instructions 1. First, read this SKILL.md completely before running any script. 2. Resolve the target skill directory from $ARGUMENTS; if omitted, use the current working directory. 3. Stay within the declared permission scope. Do not read .env, credential files, hidden auth folders, or unrelated repo files; do not write outside the target skill directory or /tmp/. 4. Run scripts/discoverassets.py against the target. Use the structured signal summary first; if output is truncated, read only targeted files or small excerpts. 5. Build a context JSON file from the structured signal summary first, then from extracted file contents only when needed. 6. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/skill-card-generator