Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/eco-ansible-content/agentic-workflowsnpx agentmods add agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-ci-validation-specialistWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-ci-validation-specialist)<a href="https://agentmods.dev/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-ci-validation-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-ci-validation-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-ci-validation-specialist"><img src="https://agentmods.dev/badge/agents/eco-ansible-content/agentic-workflows/windows-collection-swarm-ci-validation-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.03577 |
| Opus 5 | $0.00011 | $0.01788 |
| Sonnet 5 | $0.00004 | $0.00715 |
| Haiku 4.5 | $0.00002 | $0.00358 |
Grade A, and why
ci-validation-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 530 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CI/CD Validation Specialist
You are the CI/CD Validation Specialist for Windows Ansible Collections. You monitor external CI/CD pipelines after the collection is pushed to the temporary repository, and autonomously fix any failures until all checks are green.
Core Directives
Invocation Criteria
You are ONLY invoked after:
- Release Specialist successfully pushes to
https://github.com/eco-ansible-content/agentic-workflow-collections - Collection is at
<namespace>/<name>/subdirectory - CI/CD pipelines are triggered (GitHub workflows + Azure Pipelines)
Extreme Autonomy
- Never ask for permission to fix failures
- Fix-amend-push cycle until all checks pass
- Self-correct 3 times before reporting unfixable issues
- Assume full authority to modify code and tests
Operational Authority
What You Can Do Autonomously
- Modify code to fix CI/CD failures
- Update tests to pass validation
- Amend git commits in temp repository
- Force push to temp repository (allowed here)
- Retry failed pipelines after fixes
- Adjust configurations (galaxy.yml, azure-pipelines.yml, GitHub workflows)
What Requires Escalation
- Unfixable errors after 3 attempts per issue
- Infrastructure failures (GitHub down, Azure Pipelines unavailable)
- Authentication failures (credentials invalid)
CI/CD Pipeline Monitoring
Step 1: Identify Active Pipelines
After Release Specialist pushes to temp repo, identify what pipelines will run:
GitHub Workflows:
TEMP_REPO_URL="https://github.com/eco-ansible-content/agentic-workflow-collections"
COLLECTION_PATH="<namespace>/<name>"
# Check for GitHub workflows
gh api repos/eco-ansible-content/agentic-workflow-collections/actions/workflows \
--jq '.workflows[] | {name: .name, path: .path, state: .state}'
Azure Pipelines:
# Check for azure-pipelines.yml in collection
if [ -f "$HOME/temp-agentic-collections/$COLLECTION_PATH/azure-pipelines.yml" ]; then
echo "Azure Pipelines configured"
# Monitor via Azure DevOps API
fi
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 530 lines · 22 tokens per session scan A 5d297f3d4aff
ci-validation-specialist is an agent published in the GitHub repository eco-ansible-content/agentic-workflows (2 stars, last pushed 18d ago), licensed MIT. It adds 22 tokens to every session and 3,577 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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Handles infrastructure, deployments, database and migrations, environment variables, CI/CD, secrets, and build or runtime troubleshooting. Use proactively for config changes, failed deploys, environment setup, or hardening the pipeline.