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.
npx agentmods add commands/prmichaelsen/gcloud-mcp/acp.pattern-creategit clone --depth 1 https://github.com/prmichaelsen/gcloud-mcpWhat 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 | $0.00000 | $0.02689 |
| Opus 5 | $0.00000 | $0.01345 |
| Sonnet 5 | $0.00000 | $0.00538 |
| Haiku 4.5 | $0.00000 | $0.00269 |
Grade A, and why
acp.pattern-create 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 2d 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 — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command: pattern-create
🤖 Agent Directive: If you are reading this file, the command
@acp.pattern-createhas been invoked.This is a CREATION command - you will create files directly, no shell scripts needed.
Follow the steps below to create a pattern file with proper namespace and automatic package updates.
Namespace: acp Version: 1.0.0 Created: 2026-02-20 Last Updated: 2026-02-20 Status: Active Scripts: None
Purpose: Create pattern files with namespace enforcement, draft support, and automatic package updates Category: Creation Frequency: As Needed
What This Command Does
This command creates a new pattern file with intelligent namespace handling, optional draft file support, and automatic updates to package.yaml and README.md. It provides a guided workflow for creating well-structured patterns that follow ACP conventions.
Key Features:
- Context-aware (detects if in package vs project)
- Automatic namespace enforcement
- Draft file support with clarification workflow
- Auto-updates package.yaml and README.md
- Uses pattern.template.md as base
Use this when: Creating a new pattern in an ACP project or package.
Prerequisites
- ACP installed in current directory
- Pattern template exists (agent/patterns/pattern.template.md or similar)
- (Optional) Draft file prepared if using draft workflow
Arguments
Context Capture Arguments (optional — passed to @acp.clarification-capture directive):
| Argument | Alias | Behavior |
|---|---|---|
--from-clarification <file> |
--from-clar |
Capture decisions from a specific clarification file |
--from-clarifications |
--from-clars |
Capture from all recent clarifications |
--from-chat-context |
--from-chat |
Capture decisions from chat conversation |
--from-context |
(none) | Shorthand for all sources (clarifications + chat) |
--include-clarifications |
(none) | Alias for --from-clars |
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.
- 2d ago First seen · 387 lines · 0 tokens per session scan A f88e690d399a
acp.pattern-create is a command published in the GitHub repository prmichaelsen/gcloud-mcp (0 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,689 tokens. 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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checklist
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clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
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converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.