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plan-interview

plan-interview is a skill for Claude Code, Codex from pskoett/pskoett-ai-skills. It costs 108 tokens per session (3,067 once invoked), scanned A, original, no licence file.

A structured interview for agreeing on requirements before a coding task begins. It is used with /plan-interview for new features, refactoring, and other larger changes.

In plain words
What is it for?
Gathering and confirming specifications before building a feature, changing existing code, or undertaking another multi-step task.
Why use it?
It reduces misunderstandings by clarifying the goal, constraints, and expected result before implementation starts.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

not rated 328repo +1 changed 19d ago A scan Socket: passSnyk: pass 108 tokens no licence

Good fit Gathering and confirming specifications before building a feature, changing existing code, or undertaking another multi-step task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pskoett/pskoett-ai-skills/plan-interview
View source ↗ pskoett/pskoett-ai-skills
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 pskoett/pskoett-ai-skills --skill plan-interview
Clone the repo
git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills

Made for: Claude Code, 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-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/pskoett/pskoett-ai-skills/plan-interview/github.svg)](https://agentmods.dev/skills/pskoett/pskoett-ai-skills/plan-interview)
Your own site
<a href="https://agentmods.dev/skills/pskoett/pskoett-ai-skills/plan-interview"><img src="https://agentmods.dev/badge/skills/pskoett/pskoett-ai-skills/plan-interview/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-interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/pskoett/pskoett-ai-skills/plan-interview"><img src="https://agentmods.dev/badge/skills/pskoett/pskoett-ai-skills/plan-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,067 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
  • Socket pass 16 Sept 2026
  • Snyk pass 16 Sept 2026
How audits are shown
Origin unknown 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 $0.00108 $0.03067
Opus 5.5 $0.00043 $0.01227
Sonnet 5.5 $0.00022 $0.00613
Haiku 4.5 $0.00011 $0.00307

Measured 19d ago against content hash c398a6c2e301, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan-interview 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 19d 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.

.agents/skills/plan-interview/SKILL.md · 332 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

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.

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. 19d ago Changed · +74 lines · -1 tokens per session c398a6c2e301
  2. 2mo ago First seen · 258 lines · 109 tokens per session scan A 5292a6a77d49

Subscribe to this mod's changes

plan-interview is a skill published in the GitHub repository pskoett/pskoett-ai-skills (328 stars, last pushed 10d ago), with no licence file. It adds 108 tokens to every session and 3,067 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.

Planningagent-skills
Related

plan-interview compared with skills from other repositories

plan-interview next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
plan-interviewpskoett/pskoett-ai-skillsSkill32810d agononeA108Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code