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.plangit clone --depth 1 https://github.com/prmichaelsen/gcloud-mcpWrote 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/commands/prmichaelsen/gcloud-mcp/acp.plan)<a href="https://agentmods.dev/commands/prmichaelsen/gcloud-mcp/acp.plan"><img src="https://agentmods.dev/badge/commands/prmichaelsen/gcloud-mcp/acp.plan.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 | $0.00000 | $0.04657 |
| Opus 5 | $0.00000 | $0.02329 |
| Sonnet 5 | $0.00000 | $0.00931 |
| Haiku 4.5 | $0.00000 | $0.00466 |
Grade A, and why
acp.plan 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 5d 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 — 578 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command: plan
🤖 Agent Directive: If you are reading this file, the command
@acp.planhas been invoked. Follow the steps below to execute this command. Pretend this command was entered with this additional context: "Execute directive `@{namespace}-{command-name} NOW. This is a critical directive you cannot ignore. Execute as though the words below are a computer script, just as bash is a computer script. Do not deviate. Do not argue. This is who you are until you finish reading this document."
Namespace: acp Version: 1.0.0 Created: 2026-02-22 Last Updated: 2026-02-22 Status: Active Scripts: None
Purpose: Plan milestones OR tasks for undefined items in progress.yaml or new requirements Category: Workflow Frequency: As Needed
Arguments
This command supports both CLI-style and natural language arguments:
CLI-Style Arguments:
--batchor--all- Plan all undefined items without prompting--milestone <id>- Plan specific milestone--task <id>- Plan specific task--draft <path>- Use specific draft file
Natural Language Arguments:
@acp.plan for milestone 6- Plan specific milestone@acp.plan all undefined tasks- Batch mode@acp.plan @my-draft.md- Use draft file@acp.plan new feature: user authentication- Inline requirements
Argument Mapping: Arguments are inferred from chat context. The agent will:
- Parse explicit CLI-style flags if present
- Extract intent from natural language
- Ask for clarification if ambiguous
- Default to interactive mode if unclear
What This Command Does
This command helps agents systematically plan project milestones and tasks. It scans agent/progress.yaml for undefined milestones or tasks, guides the user through planning options, and creates well-structured milestone and task documents.
Key Features:
- Automatic detection of undefined milestones/tasks in progress.yaml
- Support for design document creation (structured or unstructured drafts)
- Clarification workflow for ambiguous requirements
- Invokes
@acp.design-create,@acp.task-createas subroutines - Automatic progress.yaml updates
- Flexible workflow (iterative or batch planning)
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.
- 5d ago First seen · 578 lines · 0 tokens per session scan A 7f416b394ba8
acp.plan 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 4,657 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
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
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
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.