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/nicepkg/ai-workflow/feature-planningnpx skills add nicepkg/ai-workflow --skill feature-planninggit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/feature-planning)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/feature-planning"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/feature-planning.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 | $0.00021 | $0.01834 |
| Opus 5 | $0.00010 | $0.00917 |
| Sonnet 5 | $0.00004 | $0.00367 |
| Haiku 4.5 | $0.00002 | $0.00183 |
Grade A, and why
feature-planning 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 yesterday.
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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Workflow: Plan Implementation
YOU ARE READING THIS SKILL RIGHT NOW
STOP. Before doing ANYTHING else:
- ☐ Create TodoWrite checklist (see below)
- ☐ Mark Step 1 as
in_progress - ☐ Read CLAUDE.md first (if exists)
This skill is a WRAPPER that loads Z01 context and invokes superpowers:writing-plans
MANDATORY FIRST ACTION: Create TodoWrite
TodoWrite({
todos: [
{content: "Step 1: Load project context (CLAUDE.md if exists)", status: "in_progress", activeForm: "Reading CLAUDE.md"},
{content: "Step 2: Verify Z01 files exist", status: "pending", activeForm: "Checking research"},
{content: "Step 3: Read ALL Z01 files", status: "pending", activeForm: "Loading context"},
{content: "Step 4: Invoke superpowers:writing-plans", status: "pending", activeForm: "Creating plan"},
{content: "Step 5: Verify Z02 outputs", status: "pending", activeForm: "Validating output"}
]
})
After each step: Mark completed, move in_progress to next step.
Why Use This Wrapper?
- Automates Z01 → Z02 file management
- Loads CLAUDE.md constraints into planning context
- Enforces feature-workflow naming conventions (Z02_{feature}_plan.md)
- Integrates with clarification workflow (Z02_CLARIFY)
- Maintains consistent file structure
Without this wrapper: You'd manually load Z01 files, pass to superpowers:writing-plans, manage Z02 output paths, check for clarifications.
Workflow Steps
Step 1: Load Project Context (MANDATORY FIRST)
Read CLAUDE.md if it exists.
Extract from CLAUDE.md (if exists):
- Mandatory patterns that MUST be preserved
- Forbidden approaches to AVOID
- Project conventions (naming, structure, etc.)
- Release workflows and constraints
CRITICAL: If CLAUDE.md exists and contains constraints, these MUST be passed to superpowers:writing-plans so the plan preserves project standards.
Step 2: Verify Z01 Files Exist
Scan for existing Z01 files in common locations (docs/ai/ongoing, .ai/ongoing, docs/ongoing).
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.
- yesterday First seen · 190 lines · 21 tokens per session scan A 4045402442c5
feature-planning is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 21 tokens to every session and 1,834 once invoked, about $0.0001 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 2026-09-03.
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