planner-refine-wps

planner-refine-wps is a skill for Claude Code from TalonT-Org/AutoSkillit. It costs 31 tokens per session (2,544 once invoked), scanned A, original, MIT.

A planning step that reviews all work packages across project phases for conflicts, missing connections, and overlapping work.

In plain words
What is it for?
Use it after work packages have been elaborated to find mismatched interfaces, duplicate deliverables, missing dependencies, and scope overlap.
Why use it?
It catches problems that are easy to miss when each phase or work package is planned separately.

Skill for Claude Code

Written for Claude Code: hooks in frontmatter. Also seen: mentions subagents; positional $N argument.

Part of the autoskillit plugin — 121 skills, 1 MCP server shipped together

Good fit Use it after work packages have been elaborated to find mismatched interfaces, duplicate deliverables, missing dependencies, and scope overlap.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/talont-org/autoskillit/planner-refine-wps
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 TalonT-Org/AutoSkillit --skill planner-refine-wps
Clone the repo
git clone --depth 1 https://github.com/TalonT-Org/AutoSkillit

Made for: Claude Code.

Or install autoskillit, the plugin that ships this one along with the rest of its 121 skills, 1 MCP server.

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 planner-refine-wps

README.md
[![agentmods](https://agentmods.dev/badge/skills/talont-org/autoskillit/planner-refine-wps/github.svg)](https://agentmods.dev/skills/talont-org/autoskillit/planner-refine-wps)
Your own site
<a href="https://agentmods.dev/skills/talont-org/autoskillit/planner-refine-wps"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/planner-refine-wps/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 planner-refine-wps

Your own site · 80×15
<a href="https://agentmods.dev/skills/talont-org/autoskillit/planner-refine-wps"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/planner-refine-wps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,544 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.
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 $0.00031 $0.02544
Opus 5.5 $0.00012 $0.01018
Sonnet 5.5 $0.00006 $0.00509
Haiku 4.5 $0.00003 $0.00254

Measured 1mo ago against content hash 7e251a2363a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

planner-refine-wps 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 1mo 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.

src/autoskillit/skills_extended/planner-refine-wps/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

planner-refine-wps

L1 session that refines a combined_wps.json (a PlanDocument with all work packages in WPElaborated form) by spawning one L0 subagent per phase in parallel (batched to 6). Unlike the per-WP elaboration pass, this skill spawns one L0 per phase (not per WP). Each L0 reviews ALL WPs in its assigned phase against the full WP set, detecting cross-phase API mismatches, duplicate deliverables, missing dependencies, and scope overlap. The L1 collects structured suggestions, resolves conflicts, and writes refined_wps.json.

When to Use

  • Launched by the L2 planner recipe after the parallel WP elaboration merge step
  • Accepts combined_wps.json, refined_plan.json, and refined_assignments.json
  • Produces refined_wps.json as input for downstream planner steps (e.g. reconcile_deps)

Arguments

  • $1 — Absolute path to combined_wps.json (PlanDocument with work_packages: list[WPElaborated])
  • $2 — Absolute path to refined_plan.json (PlanDocument with phases as PhaseElaborated)
  • $3 — Absolute path to refined_assignments.json (PlanDocument with assignments as AssignmentElaborated)
  • $4 — Absolute path to the run-scoped planner directory (e.g., {{AUTOSKILLIT_TEMP}}/planner/run-YYYYMMDD-HHMMSS). Output is written to $4/refined_wps.json.

Critical Constraints

NEVER:

  • Write any file outside $4/
  • Directly modify combined_wps.json ($1) — always write a new refined_wps.json
  • Allow an L0 subagent to write files directly (L0s return structured text only)
  • Emit refined_wps_path before writing refined_wps.json
  • Skip emitting refined_wps_path even if all L0s fail (write unchanged WPs, still emit)
  • Spawn more than 6 L0s in a single parallel batch
  • Spawn one L0 per WP — L0s operate per PHASE
  • Read {{AUTOSKILLIT_TEMP}} artifacts not passed as positional arguments
  • Run subagents in the background (run_in_background: true is prohibited)

ALWAYS:

  • Spawn one L0 per phase (NOT per WP) — each L0 reviews ALL WPs in its phase against the full WP set
  • Validate each L0 response for phase_id, wp_changes (array), cross_phase_deps (array), deliverable_conflicts (array), api_mismatches (array)
  • Log WARNING to stdout for any L0 response that fails validation (skip that phase)
  • Log CRITICAL to stdout for any L0 subagent that fails entirely (proceed with N-1 suggestions)
  • When two WPs claim the same deliverable file, assign ownership to the WP with the numerically earlier ID using natural sort (e.g., P1-A1-WP1 beats P2-A1-WP1)
  • Emit: refined_wps_path = <absolute path to refined_wps.json>

Read the full file on GitHub · 219 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. 1mo ago First seen · 219 lines · 31 tokens per session scan A 7e251a2363a0

Subscribe to this mod's changes

planner-refine-wps is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 2,544 once invoked, about $0.0001 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 2026-09-03.

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