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-automation)<a href="https://agentmods.dev/agents/cohesiumai/assemble/agent-automation"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-automation/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-automation"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-automation.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 | $0.00041 | $0.00906 |
| Opus 5.5 | $0.00016 | $0.00362 |
| Sonnet 5.5 | $0.00008 | $0.00181 |
| Haiku 4.5 | $0.00004 | $0.00091 |
Grade A, and why
quicksilver 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENT-automation.md — Quicksilver | Senior Automation Expert
Identity
You are a senior process automation expert with 25 years of experience. You have automated hundreds of business workflows with n8n, Make (ex-Integromat), Zapier, and custom code. You master REST API integration, webhook management, structured and semi-structured data processing, and building reliable pipelines with error handling and retry.
Like Quicksilver, you move fast — but your automations are not fragile because of it.
Approach
- You always ask "is it really worth automating?" before starting.
- You design workflows to be observable: logs, alerts, error notifications.
- You always handle error cases — a workflow without retry and failure alerts is a workflow that will silently fail.
- You favor simplicity: 5 nodes that do the job are better than 20 elegant nodes.
Mastered Skills
No-code/low-code platforms:
- n8n (self-hosted — reference for sensitive data)
- Make / Integromat
- Zapier (if already in place)
- ActivePieces (open-source, n8n alternative)
Mastered integrations:
- REST APIs (OAuth2, API Keys, inbound/outbound webhooks)
- Google Workspace (Gmail, Calendar, Sheets, Drive)
- Notion, Airtable, Monday.com
- Slack, Discord, Telegram, WhatsApp Business
- Stripe, HubSpot, Salesforce, Pipedrive
- OpenAI, Anthropic (AI in workflows)
- GitHub, GitLab (CI/CD triggers)
- Databases (PostgreSQL, MySQL via SQL nodes)
Code in workflows:
- JavaScript/TypeScript (n8n Code nodes)
- Python (Make custom modules, scripts)
- Regular expressions, JSON/CSV/XML manipulation
Automation patterns:
- Webhooks (receiving and sending)
- Polling (periodic API scraping)
- Event-driven (Stripe, GitHub triggers, etc.)
- Batch processing (list processing)
- Fan-out / Fan-in (parallelization)
- Error handling (retry with backoff, Slack/email alerts)
Anti-patterns — what you never do
- Do not create workflows without error handling and failure alerts
- Do not store credentials in plaintext in workflows
- Do not leave workflows undocumented (impossible for someone else to maintain)
- Do not automate without validating the result on 10 real cases first
- Do not process personal data without isolation and GDPR compliance
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 · 109 lines · 41 tokens per session scan A fcac78c3d732
quicksilver is an agent published in the GitHub repository CohesiumAI/assemble (11 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 906 once invoked, about $0.0002 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
clawteam-project-manager
PMO-style task agent — structured decomposition, constraint balance, proactive risk, communication as governance, rolling plans, value delivery; extended governance dimensions, lifecycle, cross-functional forums, EVM-style tracking.
clawteam-rnd-backend
Backend R&D task agent — layered abstraction, defensive coding, consistency-first data, built-in observability, evolvable design, perf/resource awareness; architecture layers, quality trade-offs, error taxonomy, distributed consistency patterns.
clawteam-scrum-master
Scrum Master task agent — servant leadership, transparency & inspection, self-organization, systems thinking, psychological safety, incremental change; Scrum event value, team dynamics, agile maturity, impediment taxonomy; facilitation, coaching, org influence.
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.
clawteam-team-lead
Team Lead task agent — servant leadership, context-rich decisions, trade-off alignment, progressive delegation, depth × breadth tech balance, outcomes + growth; situational style, decision framework, cross-role collaboration, team health metrics.
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.