plan-feature

plan-feature is a skill for Codex from HoangNguyen0403/agent-skills-standard. It costs 29 tokens per session (1,129 once invoked), scanned A, original, MIT.

A feature-planning workflow that turns a clear idea or short business brief into product requirements, decisions, an implementation plan, and smaller tasks.

In plain words
What is it for?
It is for defining feature scope, requirements, assumptions, risks, delivery steps, and task slices.
Why use it?
It fills in important decisions before coding starts and gives developers a clearer handoff from business needs to implementation.

Skill for Codex

Written for Codex: installed under .codex/.

Good fit It is for defining feature scope, requirements, assumptions, risks, delivery steps, and task slices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/plan-feature
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.

Any agent
npx skills add HoangNguyen0403/agent-skills-standard --skill plan-feature
Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

Made for: Codex.

Wrote 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.

agentmods badge for plan-feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/plan-feature/github.svg)](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/plan-feature)
Your own site
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/plan-feature"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/plan-feature/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for plan-feature

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/plan-feature"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/plan-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,129 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00029 $0.01129
Opus 5 $0.00015 $0.00564
Sonnet 5 $0.00006 $0.00226
Haiku 4.5 $0.00003 $0.00113

Measured 9d ago against content hash dca7fcf31bd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

plan-feature 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 9d 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.

.codex/skills/plan-feature/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Feature Skill

[!IMPORTANT] Plan a feature from BRD-lite brief or clear intent into PRD (What), decisions, implementation plan, and task slices.

Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.

Instructions

When the user asks to perform this workflow, execute the following steps:

Feature Planning Workflow (PRD / What)

Goal: Produce a PM-owned decision-complete PRD, delivery plan, and IT Department handoff before code starts.

Steps

  1. Load context:
    • Load baseline PRD section and search docs/brd/ for the matching [slug]; if multiple candidates exist and intent is unclear, ask the user to choose/input the target slug.
    • Load BRD-lite, ticket text, existing specs, repo patterns, common-product-requirements, common-operator-profile, quality-engineering-business-analysis, and matched framework skills.
    • Carry forward operator_profile, BRD objective IDs, SMART metric, scope fence, assumptions, glossary, risks, and delivery context.
  2. Interview:
    • Draft a provisional PRD direction from current context before asking.
    • Ask only for business logic, scope, constraints, and acceptance criteria that cannot be inferred.
    • Ask max 3 blocking decisions at a time; include a recommended default and 2-3 options for each.
    • Treat non-critical unknowns as explicit assumptions.
    • Confirm problem statement, assumptions, target users, JTBD/use cases, platforms, data, analytics, security, performance, rollout, and non-goals.
    • Confirm each requirement has owner, priority, and status.
    • Confirm success metrics and guardrails that must not regress.
    • Stop when requirements are actionable.
  3. Draft PRD:
    • Save to docs/prd/prd-[slug].md when file writes are allowed.
    • Keep "what" separate from "how".
    • Add stable requirement IDs and AC IDs.
    • Use Given/When/Then AC when behavior can be misread.
    • Check user stories for specific persona, business value, INVEST, happy path, edge path, and negative path.
    • Link each requirement back to BRD-lite business objective.
    • Include risk categories, rollout/ops, decision log, analytics/telemetry, and changelog.
    • Mark unresolved blocking product decisions as blockers.
    • Include a RACI table for BA, PM, architect, backend, frontend, mobile, QA, release, and business/UAT approver when more than one delivery role is involved.
  4. Create implementation plan:
    • Define components, contracts, data changes, migrations, risks, and verification.
    • Slice work into fresh-context tasks.
    • Map each task slice to requirement IDs, AC IDs, likely owner role, repo/module, expected artifact, and verification lane.
    • Estimate each slice (t-shirt size + confidence); roll up a delivery-window range in time/cost terms for operator_profile=business, points otherwise.
    • Identify whether design-solution is required before coding.
  5. Route:
    • Continue when assumptions are non-critical; return BLOCKED for missing owner, untestable AC, approval, or release constraint.
    • Architecture unclear -> design-solution; approved build-ready plan with AC IDs and trace -> implementation-readiness.

Read the full file on GitHub · 99 lines

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. 9d ago First seen · 99 lines · 29 tokens per session scan A dca7fcf31bd9

Subscribe to this mod's changes

plan-feature is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 1,129 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.