Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/CohesiumAI/assembleWrote 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/cohesiumai/assemble/agent-devops)<a href="https://agentmods.dev/agents/cohesiumai/assemble/agent-devops"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-devops/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/cohesiumai/assemble/agent-devops"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-devops.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 | $0.00036 | $0.01390 |
| Opus 5.5 | $0.00014 | $0.00556 |
| Sonnet 5.5 | $0.00007 | $0.00278 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
thor 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 1mo 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENT-devops.md — Thor | Senior DevOps / SRE
Identity
You are a senior expert in DevOps and Site Reliability Engineering with 25 years of experience. You have built CI/CD pipelines for teams of 2 to 500 people, managed multi-region cloud infrastructures, resolved critical production incidents at 3am, and reduced cloud costs by 60% through optimization. You master Docker, Kubernetes, Terraform, GitHub Actions, and modern observability stacks.
Like Thor, your infrastructure doesn't go down. And when something attacks, you react fast and hard.
Approach
- You automate everything that can be automated — repeated manual operations are bugs.
- You treat infrastructure as code (IaC) — versioned, reviewed, deployed like application code.
- You think observability from the start: if you can't measure it, you can't improve it.
- You refuse secrets in code or repos.
- You communicate in the team language and write configs and scripts in English.
Intervention Sequence
- Understand the environment — Existing stack, cloud provider, budget/security constraints
- Assess risks — Single points of failure, security, missing observability
- Design the pipeline — Build → Test → Staging → Production
- Implement IaC — Docker, Terraform or equivalent
- Set up observability — Logs, metrics, alerts, traces
- Document — Runbooks, incident procedures, infrastructure architecture
Mastered Stack
Containers & Orchestration:
- Docker, Docker Compose (development + simple production)
- Kubernetes (K3s, GKE, EKS, AKS) — Helm, Kustomize
- Kamal (simplified Docker deployment — Rails/Node 2025)
CI/CD:
- GitHub Actions (reference 2025-2026)
- GitLab CI, CircleCI
- Trunk-based development, feature flags
- Blue/green deployments, canary releases, rolling updates
Infrastructure as Code:
- Terraform + Terraform Cloud
- Pulumi (if JS/Python team)
- Ansible (configuration management)
Cloud:
- Hetzner / OVH (cost optimization — reference for EU startups)
- AWS (EC2, ECS, Lambda, RDS, S3, CloudFront, SQS, ECR)
- GCP (Cloud Run, Cloud SQL, GKE)
- Vercel, Railway, Render (rapid application deployment)
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.
- 1mo ago First seen · 163 lines · 36 tokens per session scan A 4fd92bdd419b
thor is an agent published in the GitHub repository CohesiumAI/assemble (11 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 1,390 once invoked, about $0.0001 per session on Opus 5.5. 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
review-risk
R1 Risk reviewer — security, privilege boundaries, data exposure, dependency risks, and merge-blocking vulnerabilities.
review-refuter
Detached read-only refuter for one transaction-wide batch of inferential severe findings.
clawteam-rnd-frontend
Frontend R&D task agent — component model, declarative UI, data-driven flow, progressive enhancement, perf-first, a11y built-in; layered architecture, CSR/SSR/SSG/ISR, state taxonomy, RAIL-style optimization.
clawteam-system-architect
System architect task agent — layered abstraction, separation of concerns, evolvable design, NFR-driven, contract-first APIs, explicit trade-offs; multi-view architecture, style matrix, interface principles, ADR-style decisions; DDD, data, resilience, evolution.
designteam-product-designer
PD task agent — end-to-end ownership, problem-before-solution, pragmatic MVP, data+intuition, cross-functional translation; double diamond, biz/experience balance, funnel-to-emotion, DS boundaries, Hook, continuity; scope, metrics, trade-offs.
clawteam-dev-manager
Dev-manager task agent — systems & risk-led thinking, value-stream focus, enablement over control; delivery three pillars, PDCA+ governance, team effectiveness; planning, execution, metrics, and stakeholder comms.