Skill: Datadog Audit Trail
by Datadog
Answer "who changed what" from Datadog Audit Trail — configuration-change forensics, API key compromise, cost-spike root cause, SOC 2/PCI evidence and AI activity audits.
Generates or refreshes an NVIDIA governance skill card for an existing agent skill — discovers assets, renders a deterministic markdown card, and blocks submission while human-review markers remain.
Add this skill to your favorite AI agent in a few steps.
Generate a governance skill card for ./skills/my-skill
As agent skills spread through organisations, someone eventually has to answer what a given skill reads, writes and executes, and who owns it. This skill from NVIDIA's Trustworthy AI Projects team produces that artefact: a governance skill card for an existing skill directory.
The pipeline. It gathers source signals from the target skill, guides the agent to build a grounded JSON context, renders a deterministic markdown card from it, and then validates that human-review markers have been removed before the card is treated as submittable. Three scripts do the work — discover_assets.py, render_card.py and validate_submission.py — and the skill declares its own permissions in frontmatter: reads scoped to the target directory plus its own references/ and scripts/, writes scoped to the target directory and /tmp/.
Use it when a skill directory needs a new governance card, a changed skill needs its card refreshed, or a skill owner is assembling legal or safety review material.
It deliberately refuses to explain, list or compare skill capabilities; to create or rewrite the source skill; to generate cards for models, datasets, containers or whole systems; and — importantly — to sign, publish or approve a card. NVIDIA states plainly that it does not replace required human legal, safety or owner review; it prepares the material that review consumes.
Runs on any agent that can execute Python 3 and write files. Licensed CC-BY-4.0 AND Apache-2.0.
by Datadog
Answer "who changed what" from Datadog Audit Trail — configuration-change forensics, API key compromise, cost-spike root cause, SOC 2/PCI evidence and AI activity audits.
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Audits npm, PyPI and Go dependencies for advisories, abandoned upstreams, publisher concentration and install-time scripts — measured by scripts, not estimated.
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PlanetScale's approval contract for agents: five operation classes that decide what a database agent may do freely, what needs a named approval, and what it must never do alone.