argocd
Deploy Kubernetes apps declaratively with Argo CD applications and projects. Use when tasks mention argocd, Argo CD, argocd app sync, Application CRD, AppProject, or GitOps with Argo CD.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add greedychipmunk/agent-skills --skill argocd
Maintenance
fresh
Pushed today
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
14
58/100 Quality · 62/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
14 GitHub stars
Repo activity
14 stars, 1 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add greedychipmunk/agent-skills --skill argocd
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- The skill includes destructive commands (--prune, --force) that could cause data loss if misused, though safety guardrails are present.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add greedychipmunk/agent-skills --skill argocd
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 54/100
- Audit
- 71/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add greedychipmunk/agent-skills --skill argocdDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill includes destructive commands (--prune, --force) that could cause data loss if misused, though safety guardrails are present.
- No OpenAgentSkill engagement data yet
Agent safety v2
31/100 · Avoid automatic install
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install greedychipmunk-argocdAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20argocd%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20argocd%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/greedychipmunk-argocd/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use argocd in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20argocd%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/greedychipmunk-argocd/install
Install command: npx skills add greedychipmunk/agent-skills --skill argocd
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/greedychipmunk-argocd/install
LLM text format
/api/skills/greedychipmunk-argocd/install?format=text
Find alternatives
/api/skills/search?q=argocd&limit=3
Agent prompt
Use argocd for this task. Review https://www.openagentskill.com/api/skills/greedychipmunk-argocd/install, then install with: npx skills add greedychipmunk/agent-skills --skill argocdRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/greedychipmunk-argocd
LLM text
/api/registry/manifest/greedychipmunk-argocd?format=text
Install alias
/api/registry/install/greedychipmunk-argocd
Recommend
/api/registry/recommend?task=Use%20argocd%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 71/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for GitHub automation
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
GitHub automation
Trust label
Needs manual review
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 58/100 quality profile
review first
- Low GitHub adoption signal
- The skill includes destructive commands (--prune, --force) that could cause data loss if misused, though safety guardrails are present.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX14 GitHub stars
Stars/forks activity
FIX14 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- The skill includes destructive commands (--prune, --force) that could cause data loss if misused, though safety guardrails are present.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 14 GitHub stars
- Stars/forks activity: 14 stars, 1 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Overview
--- name: argocd description: Deploy Kubernetes apps declaratively with Argo CD applications and projects. Use when tasks mention argocd, Argo CD, argocd app sync, Application CRD, AppProject, or GitOps with Argo CD. license: MIT metadata: author: greedychipmunk version: "1.0" ---
# Argo CD
Use this skill to manage GitOps deployments with Argo CD declaratively and safely.
## Quick Start
1. Run `argocd app list` to see all applications and their sync status. 2. Run `argocd app diff <name>` before any sync to preview what will change. 3. Use `argocd app sync <name>` to trigger a deployment. 4. Check `argocd app get <name>` for health and sync state after deploying.
## Intent Router
- `resources/install-and-setup.md` — install argocd CLI, login, env vars, initial setup - `resources/command-cookbook.md` — argocd app list/get/create/sync/diff/history/rollback commands - `resources/application-management.md` — Application CRD, sync policies, waves, hooks, health status - `resources/rbac-and-projects.md` — AppProject CRD, RBAC policies, SSO, multi-tenancy
## Workflow
### Deploy an Application
```bash # Preview changes before syncing argocd app diff my-app
# Sync a specific application argocd app sync my-app
# Sync only specific resources argocd app sync my-app --resource apps:Deployment:my-deployment ```
### Create an Application
```bash argocd app create my-app \ --repo https://github.com/org/repo \ --path k8s/overlays/production \ --dest-server https://kubernetes.default.svc \ --dest-namespace production \ --sync-policy automated ```
### Monitor Health
```bash argocd app get my-app argocd app history my-app argocd app rollback my-app 3 ```
## Safety Guardrails
- Always run `argocd app diff <name>` before `argocd app sync` to preview what will change in production. - Use `--dry-run` when creating or modifying Applications to validate configuration before committing. - Set `syncPolicy.automated.prune: false` initially; enable pruning only after verifying the resource list is correct. - Never share the `argocd-initial-admin-secret` — rotate the admin password immediately after first login. - Use AppProject `sourceRepos` and `destinations` to restrict what repositories and clusters each team can deploy to. - Use `argocd app sync --resource <group:kind:name>` to sync specific resources rather than triggering a full sync unnecessarily. - Store repository credentials as Kubernetes secrets, not as plain-text in Application manifests.
## Related Skills
kubectl, helm
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 22, 2026
- Published
- Aug 22, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 71/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for argocd, ready for a manual X post.
argocd: Deploy Kubernetes apps declaratively with Argo CD applications and projects. Use when tasks m... 14 stars https://www.openagentskill.com/skills/greedychipmunk-argocd?ref=x
Optional reply with install command
Listing + install path for argocd: https://www.openagentskill.com/skills/greedychipmunk-argocd?ref=x Install: npx skills add greedychipmunk/agent-skills --skill argocd
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- greedychipmunk
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to greedychipmunk but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/greedychipmunk-argocd)
[](https://www.openagentskill.com/skills/greedychipmunk-argocd)
[](https://www.openagentskill.com/skills/greedychipmunk-argocd/audit)
[](https://www.openagentskill.com/skills/greedychipmunk-argocd)Author
greedychipmunk
@greedychipmunk
Tags
Platform fit
Health signals
- GitHub stars
- 14
- Quality score
- 32/100
- Last GitHub push
- Aug 22, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption14 GitHub starsFIX
- Stars/forks activity14 stars, 1 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, credential or environment accessCHECK
Related skills
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsCua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
21.4K Stars