feature-init

A workflow for understanding a proposed software change, resolving important unknowns, and creating or reusing a feature record for handoff or acceptance. It keeps ordinary questions and diagnosis in the conversation.

In plain words
What is it for?
Use it to investigate a requested feature, check the current code and project rules, resolve consequential decisions, and prepare the required feature record.
Why use it?
It helps capture only the feature information needed for an authorized change without creating unnecessary records or implementation code.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/shrekshrek/project-workflow/feature-init
Any agent
npx skills add shrekshrek/project-workflow --skill feature-init
Clone the repo
git clone --depth 1 https://github.com/shrekshrek/project-workflow

Made for: Claude Code, Codex.

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 370 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00043 $0.00370
Opus 5 $0.00022 $0.00185
Sonnet 5 $0.00009 $0.00074
Haiku 4.5 $0.00004 $0.00037

Measured 2d ago against content hash 174139b85d46, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature-init 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.

adapters/claude/skills/feature-init/SKILL.md · 25 lines

What it actually says

Feature Init

Match the user's language. Read ${CLAUDE_PLUGIN_ROOT}/docs/actions/feature-init.md completely before acting; it owns discovery, records, authorization, and safety rules.

Claude execution details:

  • Interpret $ARGUMENTS in the ongoing conversation. Resolve the target root explicitly; all writes stay below it. Choose a kebab-case slug only when an authorized new record is needed.
  • Read root/applicable nested AGENTS.md and active current truth. Claude-local .claude/rules/ are host-specific convention inputs when applicable.
  • CLAUDE_PLUGIN_ROOT is required; invoke ${CLAUDE_PLUGIN_ROOT}/scripts/materialize-feature-artifact.cjs and never search another runtime cache or bypass its no-clobber gate.
  • Under the shared execution contract, dispatch a fresh decision-completeness-auditor only at the canonical material-choice/conflicting-or-weak-evidence boundary; ordinary work with directly traceable values is N/A. Use main-session fallback only when canonical dispatch is unavailable or fails, and record the observed reason. Report canonical Reviewer execution evidence whenever this audit boundary applies.
  • Create no production implementation code and never commit. A separately authorized bounded trial follows the canonical discovery rules. Return control to the enclosing request as directed by the canonical action.
  • If materialization reports an occupied directory, leave it untouched and rerun feature-init to recompute the number.

Report the useful conclusion, record disposition, evidence, and next action without adding an adapter-specific schema.

Changes

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.

  1. 2d ago First seen · 25 lines · 43 tokens per session scan A 174139b85d46

Subscribe to this mod's changes

feature-init is a skill published in the GitHub repository shrekshrek/project-workflow (2 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 370 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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