Azure Pipelines Log Downloader
ansible/ansible
Downloads Azure Pipelines CI logs for an Ansible pull request or build so the agent can analyze test failures, after asking you first.
Run User Acceptance Testing by creating a PR with rendered markdown on GitHub or Azure DevOps.
$ npx skills add oocx/tfplan2md --skill run-uat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oocx/tfplan2md run-uat --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/oocx/tfplan2md.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/run-uat .claude/skills/run-uat && 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 "run-uat" agent skill from https://github.com/oocx/tfplan2md/tree/main/.agents/skills/run-uat into .claude/skills/run-uat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-uat", 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/oocx/tfplan2md/tree/main/.agents/skills/run-uatType 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 oocx/tfplan2md --skill run-uat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oocx/tfplan2md run-uat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oocx/tfplan2md.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/run-uat .agents/skills/run-uat && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "run-uat" agent skill from https://github.com/oocx/tfplan2md/tree/main/.agents/skills/run-uat into .agents/skills/run-uat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-uat", 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 oocx/tfplan2md --skill run-uat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oocx/tfplan2md run-uat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oocx/tfplan2md.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/run-uat .cursor/skills/run-uat && 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 "run-uat" agent skill from https://github.com/oocx/tfplan2md/tree/main/.agents/skills/run-uat into .cursor/skills/run-uat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-uat", 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/oocx/tfplan2md.git --path .agents/skills/run-uat--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 oocx/tfplan2md --skill run-uat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oocx/tfplan2md run-uat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oocx/tfplan2md.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/run-uat .gemini/skills/run-uat && 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 "run-uat" agent skill from https://github.com/oocx/tfplan2md/tree/main/.agents/skills/run-uat into .gemini/skills/run-uat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-uat", 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 oocx/tfplan2md run-uatInstalls 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 oocx/tfplan2md --skill run-uat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/oocx/tfplan2md.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/run-uat .github/skills/run-uat && 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 "run-uat" agent skill from https://github.com/oocx/tfplan2md/tree/main/.agents/skills/run-uat into .github/skills/run-uat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-uat", 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 oocx/tfplan2md --skill run-uat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install oocx/tfplan2md run-uat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oocx/tfplan2md.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/run-uat .opencode/skills/run-uat && 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 "run-uat" agent skill from https://github.com/oocx/tfplan2md/tree/main/.agents/skills/run-uat into .opencode/skills/run-uat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-uat", 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.
run-uatRun User Acceptance Testing by creating a PR with rendered markdown on GitHub or Azure DevOps.
Run Uat is an agent skill from oocx/tfplan2md. Run User Acceptance Testing by creating a PR with rendered markdown on GitHub or Azure DevOps. Use when validating markdown rendering in real platforms.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires git. GitHub UAT uses repo scripts which require GitHub CLI (gh) authenticated. Azure DevOps UAT requires Azure CLI (az) + azure-devops extension…
It sits in DevOps & Cloud, covering Markdown. It works with Azure DevOps and GitHub. The repository describes itself as: Convert terraform plans (json) into human readable markdown for easier review of changes in pull requests. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 88d5240. 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.
Shell commands in SKILL.md call:
gitdotnetghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GH_UAT_TOKENAZDO_UAT_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires git. GitHub UAT uses repo scripts which require GitHub CLI (gh) authenticated. Azure DevOps UAT requires Azure CLI (az) + azure-devops extension. Network access required.
From compatibility in the SKILL.md frontmatter.
Run Uat loads about 1.2k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 415 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 oocx/tfplan2md at commit 88d5240, republished under its MIT licence (© oocx). 415 words, ~1,231 tokens.
.claude/skills/run-uat/SKILL.md (or your agent's skills folder).Execute end-to-end User Acceptance Testing by posting a feature-specific artifact and the comprehensive demo to a real PR on GitHub or Azure DevOps, then validating the rendered output.
--report/--instructions pair (feature-specific report and test instructions).--report.scripts/generate-demo-artifacts.sh if needed.--report argument (added automatically).git submodule update --init --recursiveGH_UAT_TOKEN). For local dev: gh auth login.AZDO_UAT_TOKEN → AZURE_DEVOPS_EXT_PAT). For local dev: set AZURE_DEVOPS_EXT_PAT.# Minimum: one feature-specific report with test instructions
scripts/uat-run.sh \
--report artifacts/<feature-specific-report>.md \
--instructions "In azurerm_key_vault_secret.audit_policy, verify key_vault_id displays as 'Key Vault \`kv-name\` in resource group \`rg-name\`' instead of full /subscriptions/ path"
# Multiple feature-specific reports (all with instructions):
scripts/uat-run.sh \
--report artifacts/feature-a.md \
--instructions "Verify feature A renders correctly" \
--report artifacts/feature-b.md \
--instructions "Verify feature B renders correctly"
# GitHub only:
scripts/uat-run.sh \
--report artifacts/<feature>.md \
--instructions "..." \
--platform github
# Create PRs without polling (for manual review workflow):
scripts/uat-run.sh \
--report artifacts/<feature>.md \
--instructions "..." \
--create-only
# After the Maintainer records the gate decision, the Release Manager cleans up:
scripts/uat-run.sh --cleanup-lastValidates that all provided artifacts are up-to-date (built from current branch code)
Auto-configures GitHub/AzDO authentication for coding agent environments
Creates a unique UAT branch in the UAT repos
Creates UAT PR(s) on GitHub and/or Azure DevOps
Posts each feature report as a PR comment with the format:
## Test Instructions
<instructions you provided>
## Report
<artifact content>Automatically appends artifacts/comprehensive-demo-simple-diff.md (GitHub) and artifacts/comprehensive-demo.md (AzDO) as the final regression test comment
Polls for approval (unless --create-only)
Cleans up PRs and branches on approval
Before running UAT, ensure your branch is up to date to avoid testing against stale base changes.
Use the git-rebase-main skill.
# If script fails with "Artifact is outdated":
scripts/generate-demo-artifacts.sh
# For feature-specific artifacts:
dotnet run --project src/Oocx.TfPlan2Md/Oocx.TfPlan2Md.csproj -- \
[your args] --output artifacts/<feature-specific>.md| Issue | Solution |
|---|---|
| "Artifact is outdated" | Run scripts/generate-demo-artifacts.sh to regenerate all demo artifacts |
| "At least one --report/--instructions pair is required" | Provide --report <file> --instructions "<text>" |
| "Each --report must have a corresponding --instructions" | Check that --report and --instructions are properly paired |
| "GH_UAT_TOKEN is not set" | Export it in your shell: export GH_UAT_TOKEN=... |
| "AZDO_UAT_TOKEN not set" | Export it in your shell: export AZDO_UAT_TOKEN=... |
| Submodule not initialized | Run git submodule update --init --recursive |
| "Branch already exists" | Old UAT branch still present; run scripts/uat-run.sh --cleanup-last |
© oocx, 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 .agents/skills/run-uat of oocx/tfplan2md.
Open the folder on GitHubat commit 88d5240
Run Uat 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 |
|---|---|---|---|---|---|---|
| Run Uat this skilloocx/tfplan2md | 174 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Azure Pipelines Log Downloaderansible/ansible | 71k | — | ~825 | Automated safety check: Pass | GPL-3.0 | |
| ONNX Runtime CI Managementmicrosoft/onnxruntime | 22k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Triageflowershow/flowershow | 1.1k | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Migrate To TeamcityJetBrains/teamcity-cli | 125 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Sdaf Orientation And SurfaceAzure/sap-automation | 145 | — | ~1.6k | Automated safety check: Pass | MIT |
ansible/ansible
Downloads Azure Pipelines CI logs for an Ansible pull request or build so the agent can analyze test failures, after asking you first.
microsoft/onnxruntime
Triggers, re-runs and unblocks the CI checks on an ONNX Runtime pull request, after diagnosing whether a failure is transient or needs a code change.
flowershow/flowershow
Automatically triage a newly opened GitHub issue — categorise it, verify the claim, and apply the right category and state so a maintainer or agent can pick it up.
JetBrains/teamcity-cli
Migrating CI/CD pipelines to TeamCity. An agent skill from JetBrains/teamcity-cli.
Azure/sap-automation
Orient a newcomer to the SAP Deployment Automation Framework (SDAF): explain the spine (control plane → workload zone → SAP system → software → install → operate/remove), summarise the three…
novotnyllc/dotnet-artisan
Configures .NET CI/CD pipelines (GitHub Actions with setup-dotnet, NuGet cache, reusable workflows; Azure DevOps with DotNetCoreCLI, templates, multi-stage), containerization (multi-stage…
oocx/tfplan2md
Create a new Agent Skill following project standards and templates.
oocx/tfplan2md
Detect and analyze edge crossings and overlaps in SVG workflow diagrams using geometric intersection algorithms and visual analysis.
oocx/tfplan2md
Generate PNG screenshots for release notes using the repository's HtmlRenderer and ScreenshotGenerator tools.
oocx/tfplan2md
Safely rebase the current feature branch on top of the latest origin/main.
oocx/tfplan2md
Determine the next available issue number across all change types (feature, fix, workflow, website) by checking both local docs and remote branches, then reserve it by pushing an empty branch.
oocx/tfplan2md
Convert the mermaid diagram in docs/workflow.md to a blueprint-styled SVG for the website.
Works with
Run User Acceptance Testing by creating a PR with rendered markdown on GitHub or Azure DevOps. Run Uat is an agent skill from oocx/tfplan2md. Run User Acceptance Testing by creating a PR with rendered markdown on GitHub or Azure DevOps.
Run Uat fits situations like: validating markdown rendering in real platforms; tasks that involve Markdown.
Run `npx skills add oocx/tfplan2md --skill run-uat -a claude-code`. Or copy the skill folder (.agents/skills/run-uat in oocx/tfplan2md) into .claude/skills/run-uat in your project. Claude Code loads it when a task matches its description.
Run `npx skills add oocx/tfplan2md --skill run-uat -a codex`. Or copy the skill folder (.agents/skills/run-uat in oocx/tfplan2md) into .agents/skills/run-uat 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 oocx/tfplan2md --skill run-uat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-uat, .gemini/skills/run-uat, .github/skills/run-uat and .opencode/skills/run-uat in your project.
Going by SKILL.md and its folder, Run Uat needs the command-line tools its instructions call (git, dotnet and gh) and credentials named GH_UAT_TOKEN and AZDO_UAT_TOKEN. Our summary lists: A credential in GH_UAT_TOKEN; A credential in AZDO_UAT_TOKEN. Compatibility (from SKILL.md): Requires git. GitHub UAT uses repo scripts which require GitHub CLI (gh) authenticated. Azure DevOps UAT requires Azure CLI (az) + azure-devops extension. Network access required..
SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. 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.
Run Uat is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.9k 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 Run Uat: Azure Pipelines Log Downloader (ansible/ansible, 71k stars), ONNX Runtime CI Management (microsoft/onnxruntime, 22k stars), Triage (flowershow/flowershow, 1.1k stars) and Migrate To Teamcity (JetBrains/teamcity-cli, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
oocx (a GitHub user) maintains it in oocx/tfplan2md, which has 174 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 7, 2026.
Source: oocx/tfplan2md on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.