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 skills/abuango/pos-ai/plan-generationnpx skills add abuango/pos-ai --skill plan-generationgit clone --depth 1 https://github.com/abuango/pos-aiWrote 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/skills/abuango/pos-ai/plan-generation)<a href="https://agentmods.dev/skills/abuango/pos-ai/plan-generation"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/plan-generation.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 | $0.00041 | $0.01084 |
| Opus 5 | $0.00020 | $0.00542 |
| Sonnet 5 | $0.00008 | $0.00217 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
plan-generation 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 4d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Generation Skill
You are creating an implementation plan for a POS project. This is a critical document that must be approved before any work begins.
Setup
Before starting: check .handoff/sessions/ for active sessions, read context status.yaml, run git status. Follow .rules/universal.md (Plan -> Approve -> Execute).
Process
-
Load Project Context
- Read the project YAML from
{teams_dir}/{team}/projects/{project-name}.yaml - Understand requirements, constraints, and acceptance criteria
- Identify the assigned team and available engineers
- Read the project YAML from
-
Analyze the Workspace
- If workspace path is specified, explore the codebase
- Understand existing architecture and patterns
- Identify files that will need modification
-
Design Technical Approach
- Determine architecture decisions
- Choose appropriate technologies/patterns
- Document key decisions with rationale
-
Break Down into Tasks
- Create phases for logical groupings
- Each task should be:
- Assignable to a single engineer specialty
- Completable in a focused work session
- Have clear inputs and outputs
- Define dependencies between tasks
- Assign appropriate engineer type to each task
-
Identify Risks
- Technical risks
- Dependency risks
- Timeline risks
- Document mitigations for each
-
Create Plan Document
- Save to:
{teams_dir}/{team}/projects/{project}/plans/plan-v1.md - Update project.yaml status to
planning
- Save to:
Available Engineer Specialties
| Engineer | Use For |
|---|---|
| eng-backend | APIs, services, business logic, databases |
| eng-frontend | UI components, pages, client-side logic |
| eng-testing | Tests, coverage, quality assurance |
| eng-devops | CI/CD, deployment, infrastructure |
| eng-security | Security reviews, vulnerability fixes |
Plan Template
# Implementation Plan: {PROJECT_NAME}
**Version:** 1.0
**Created:** {DATE}
**Author:** tpm-{team}
**Status:** PENDING_APPROVAL
---
## Overview
{Brief description of what this project accomplishes}
## Requirements
From project.yaml:
1. {Requirement 1}
2. {Requirement 2}
## Technical Approach
### Architecture
{Describe the architectural approach}
### Key Decisions
1. **{Decision 1}**: {Rationale}
2. **{Decision 2}**: {Rationale}
### Technologies/Patterns
- {Technology/pattern 1}: {Why}
## Task Breakdown
### Phase 1: {Phase Name}
- [ ] **Task 1.1**: {Description}
- Engineer: eng-{specialty}
- Files: {files to create/modify}
- Dependencies: none
- Estimated complexity: low/medium/high
- [ ] **Task 1.2**: {Description}
- Engineer: eng-{specialty}
- Files: {files to create/modify}
- Dependencies: Task 1.1
### Phase 2: {Phase Name}
...
## Testing Strategy
- Unit tests: {approach}
- Integration tests: {approach}
- Manual verification: {steps}
## Risks & Mitigations
| Risk | Likelihood | Impact | Mitigation |
|------|------------|--------|------------|
| {Risk 1} | Medium | High | {Mitigation} |
## Dependencies
### External
- {External dependency 1}
### Internal
- {Internal dependency}
## Definition of Done
- [ ] All tasks completed
- [ ] Tests passing
- [ ] Code reviewed by TPM
- [ ] Documentation updated
- [ ] Acceptance criteria met
---
## Approval
**Submitted for approval:** {DATE}
**CTO Review:**
- [ ] Technical approach approved
- [ ] Risk assessment adequate
- [ ] Resource allocation appropriate
**Decision:** PENDING
**Notes:**
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 175 lines · 41 tokens per session scan A d49e53f7460e
plan-generation is a skill published in the GitHub repository abuango/pos-ai (2 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 1,084 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 2026-08-31.
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