Monitor CI
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
Review a proposed AI-agent action or human-approval packet before execution.
$ npx skills add github/awesome-copilot --skill verify-agent-action -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot verify-agent-action --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/verify-agent-action .claude/skills/verify-agent-action && 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 "verify-agent-action" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/verify-agent-action into .claude/skills/verify-agent-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-agent-action", 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/github/awesome-copilot/tree/main/skills/verify-agent-actionType 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 github/awesome-copilot --skill verify-agent-action -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot verify-agent-action --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/verify-agent-action .agents/skills/verify-agent-action && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "verify-agent-action" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/verify-agent-action into .agents/skills/verify-agent-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-agent-action", 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 github/awesome-copilot --skill verify-agent-action -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot verify-agent-action --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/verify-agent-action .cursor/skills/verify-agent-action && 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 "verify-agent-action" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/verify-agent-action into .cursor/skills/verify-agent-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-agent-action", 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/github/awesome-copilot.git --path skills/verify-agent-action--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 github/awesome-copilot --skill verify-agent-action -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot verify-agent-action --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/verify-agent-action .gemini/skills/verify-agent-action && 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 "verify-agent-action" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/verify-agent-action into .gemini/skills/verify-agent-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-agent-action", 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 github/awesome-copilot verify-agent-actionInstalls 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 github/awesome-copilot --skill verify-agent-action -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/verify-agent-action .github/skills/verify-agent-action && 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 "verify-agent-action" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/verify-agent-action into .github/skills/verify-agent-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-agent-action", 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 github/awesome-copilot --skill verify-agent-action -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot verify-agent-action --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/verify-agent-action .opencode/skills/verify-agent-action && 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 "verify-agent-action" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/verify-agent-action into .opencode/skills/verify-agent-action/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-agent-action", 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.
verify-agent-actionReview a proposed AI-agent action or human-approval packet before execution.
Verify Agent Action is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Review a proposed AI-agent action or human-approval packet before execution. Use when an agent wants to run a consequential tool, command, deployment, message, purchase, credential operation, or data mutation; when checking whether approval still matches the exact action; or when auditing action evidence for forged results, parameter swaps, replay, correlated reviewers, missing evidence, expiry, or stale monitoring. Produce an evidence-based review only—never execute or authorize the action.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 727ff2e. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and markdown).
From 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.
Verify Agent Action loads about 2.1k tokens when it runs. Until then it costs about 129 tokens; SKILL.md has 846 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); files beside SKILL.md are not scanned.
The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 846 words, ~2,054 tokens.
.claude/skills/verify-agent-action/SKILL.md (or your agent's skills folder).Treat a plausible approval screen as a claim, not proof. Verify the complete decision path before a human or an external enforcement point decides whether to act.
INCONCLUSIVE when required evidence
is unavailable.Set this field in every final result:
{"execution_authorized": false}Request only the artifacts needed for the review:
List missing fields before analysis. Do not silently substitute defaults.
Create one normalized action object without dropping fields:
{
"operation": "git.push",
"target": "owner/repository",
"parameters": {
"branch": "fix/example",
"commit": "40-character-sha",
"remote": "origin"
},
"filesystem_scope": [],
"network_scope": ["github.com:443"],
"execution_count": 1,
"not_before": "RFC3339 timestamp",
"expires_at": "RFC3339 timestamp"
}Use a project-specified canonicalization and digest algorithm when provided. Otherwise, report that cryptographic identity cannot be independently verified; still compare every field structurally.
Never normalize away a security-relevant distinction such as:
Evaluate every control as PASS, FAIL, INCONCLUSIVE, or NOT_APPLICABLE.
FAIL if the received result differs from recomputation.INCONCLUSIVE when only schema validation, an internal checksum, or an
unverifiable evaluator claim is available.FAIL if any material field changed after approval.FAIL for a reused nonce, wrong audience, expired approval, future-dated
approval, excessive use count, revoked identity, or role mismatch.INCONCLUSIVE if no trustworthy replay store or time source exists.Build a dependence table for every reviewer or evaluator:
| Dimension | Compare |
|---|---|
| Model | family, version, fine-tune |
| Provider | account and control plane |
| Prompt | shared template or ancestry |
| Retrieval | overlapping sources and indexes |
| Tools | shared evaluator code and runtime |
| Operator | common owner or approval authority |
Do not count correlated reviewers as independent quorum members. Mark FAIL if
the policy requires independent approval and the remaining independent set is
too small.
| Support | Refutation | Epistemic state |
|---|---|---|
| absent | absent | UNDETERMINED |
| present | absent | SUPPORTED_ONLY |
| absent | present | REFUTED_ONLY |
| present | present | CONFLICTED |
FAIL if evidence was removed, altered, expired, or concealed in a way
that changes the result.CONFLICTED into a numeric average that appears safe.Before producing the final result, attempt these mutations mentally or with project-provided test fixtures:
If any mutation would pass the reviewed controls, record the affected control
as FAIL; do not merely recommend future hardening.
Use exactly one result:
ELIGIBLE_FOR_HUMAN_DECISION: all required controls pass.ELIGIBLE_WITH_CONTROLS: no required control fails, and explicit external
controls can resolve the listed conditions before execution.BLOCKED: at least one required control fails or the action exceeds the
justified scope.INCONCLUSIVE: no required control is proven false, but evidence needed for
a safe decision is missing or unverifiable.ELIGIBLE_FOR_HUMAN_DECISION is not approval. A human authority and a separate
enforcement point remain responsible for any real action.
# Agent Action Review
## Result
- Review result: BLOCKED | INCONCLUSIVE | ELIGIBLE_WITH_CONTROLS |
ELIGIBLE_FOR_HUMAN_DECISION
- Execution authorized: false
- Exact action digest: <verified value or NOT_VERIFIED>
## Action
- Operation:
- Target:
- Material parameters:
- Scope:
- Validity window:
- Maximum uses:
## Control matrix
| Control | Status | Evidence | Reason |
|---|---|---|---|
| Recomputed assessment | PASS/FAIL/INCONCLUSIVE/N/A | ... | ... |
| Exact action binding | ... | ... | ... |
| Replay and identity | ... | ... | ... |
| Reviewer independence | ... | ... | ... |
| Evidence completeness | ... | ... | ... |
| Monitoring freshness | ... | ... | ... |
## Supporting evidence
- ...
## Refuting evidence and defeaters
- ...
## Required next action
- State the smallest concrete step that could change the result.
## Boundaries
- State what this review did not prove.Lead with the result and the exact reason. Prefer a reproducible blocker over a confidence score.
© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/verify-agent-action of github/awesome-copilot.
Open the folder on GitHubat commit 727ff2e
Verify Agent Action 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 |
|---|---|---|---|---|---|---|
| Verify Agent Action this skillgithub/awesome-copilot | 40k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Monitor CInrwl/nx | 29k | 5 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Terraform and OpenTofu Guideagentscope-ai/QwenPaw | 35k | 6 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Analyze GitHub Action Logswithastro/astro | 63k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Docs Learn PR Previewnetdata/netdata | 81k | — | ~2k | Automated safety check: Pass | GPL-3.0 |
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
withastro/astro
Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.
netdata/netdata
Use only when the user explicitly asks to build, run, preview, inspect, or validate learn.netdata.cloud locally using the contents of a PR or documentation branch before merge.
netdata/netdata
Inspect Netdata-org source checkouts under NETDATAREPOSDIR, or set up and synchronize that mirror when requested.
github/awesome-copilot
Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
github/awesome-copilot
Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.
github/awesome-copilot
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
Categories
Review a proposed AI-agent action or human-approval packet before execution. Verify Agent Action is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Review a proposed AI-agent action or human-approval packet before execution.
Verify Agent Action fits situations like: an agent wants to run a consequential tool; credential operation; checking whether approval still matches the exact action; auditing action evidence for forged results.
Run `npx skills add github/awesome-copilot --skill verify-agent-action -a claude-code`. Or copy the skill folder (skills/verify-agent-action in github/awesome-copilot) into .claude/skills/verify-agent-action in your project. Claude Code loads it when a task matches its description.
Run `npx skills add github/awesome-copilot --skill verify-agent-action -a codex`. Or copy the skill folder (skills/verify-agent-action in github/awesome-copilot) into .agents/skills/verify-agent-action 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 github/awesome-copilot --skill verify-agent-action -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/verify-agent-action, .gemini/skills/verify-agent-action, .github/skills/verify-agent-action and .opencode/skills/verify-agent-action in your project.
SKILL.md names no scripts, command-line tools or credentials: Verify Agent Action is instructions for the agent only.
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. Review the folder before installing.
Verify Agent Action is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Verify Agent Action: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.
Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.