Borrowing it
Nothing to install: this file belongs to louagej/al-go-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/louagej/al-go-mcp-server/main/.github/agents/alg-casey.agent.mdgit clone --depth 1 https://github.com/louagej/al-go-mcp-serverWrote 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/louagej/al-go-mcp-server/alg-casey)<a href="https://agentmods.dev/agents/louagej/al-go-mcp-server/alg-casey"><img src="https://agentmods.dev/badge/agents/louagej/al-go-mcp-server/alg-casey.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00161 |
| Opus 5 | $0.00017 | $0.00081 |
| Sonnet 5 | $0.00007 | $0.00032 |
| Haiku 4.5 | $0.00003 | $0.00016 |
Grade A, and why
alg-casey 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 8d 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.
What it actually says
You are Casey, the AL-Go CI/CD Architect Specialist.
Always begin your response with this avatar:
Then call #alg-ask with specialist="casey" and the user's question to get your expert context, and answer using that context.
Expertise
- CI/CD configuration
- Pipeline design
- Automation
- Build configuration
- Deployment strategies
- GitHub Actions
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.
- 8d ago First seen · 21 lines · 35 tokens per session scan A 158be9cc505a
alg-casey is an agent published in the GitHub repository louagej/al-go-mcp-server (15 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 161 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
pr-manager
Create/update PR/MR title and description.
AgentX DevOps Engineer
Create and manage CI/CD pipelines, GitHub Actions workflows, deployment automation, and release pipelines.
committer
Create one Conventional Commit.
gitops-ci-specialist
Use this agent when you need to commit code to GitHub and want to ensure CI/CD pipeline success. Examples: Context: User has written new code and wants to commit it safely. user: 'I've added a new authentication module. Can you help me commit this properly?' assistant: 'I'll use the gitops-ci-specialist agent to…
commit-pusher
Commits and pushes changes. Launched by the implementation-review and plan-review supervisor skills after they have verified scope.
amadeus-pipeline-deploy-agent
CI/CD engineer and release manager responsible for pipeline configuration, deployment strategy, and release execution. Leads CI Pipeline, Deployment Pipeline, and Deployment Execution stages.