Plan Validate

What it does

When your agent uses it

• : plan validation
• Checking plan format
• Extracting plan data

Example prompts

• “/plan-validate”

Requirements

• Python 3
• Pre-approved tools (allowed-tools): Bash

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

1. 1Inline with prefix — Answer: text, *Answer: text*, or plain Answer: text on the question line.
2. 2A-### keyed answer — a separate A-001: answer text line corresponding to Q-001.
3. 3Inline comment — extra text appended after the known question text on the question line, without any Answer: prefix. Metadata markers like…

What it can do on your machine

Read from SKILL.md and the folder at commit 476b54c. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Bash

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 4 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python3

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Plan Validate loads about 1.2k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 437 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~118

When it runs · the whole SKILL.md, loaded when a task matches

~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from closedloop-ai/claude-plugins at commit 476b54c, republished under its Apache-2.0 licence (© closedloop-ai). 437 words, ~1,157 tokens.

name

plan-validate

description

Deterministic plan.json validation via Python script, replacing most plan-validator agent calls. Performs JSON parsing, schema validation, task checkbox regex, required section checks, sync validation, and data extraction. Only semantic consistency checks (storage/query alignment) require the LLM agent. Triggers on: plan validation, checking plan format, extracting plan data. Returns PLAN_VALID with extracted data or PLAN_FORMAT_ISSUES with issues list.

allowed-tools

Bash

context

fork

python3 ${CLAUDE_SKILL_DIR}/scripts/validate_plan.py <WORKDIR> --auto-sync

{
  "status": "VALID",
  "issues": [],
  "has_unanswered_questions": false,
  "unanswered_questions": [],
  "has_answered_questions": false,
  "answered_questions": [],
  "has_addressed_gaps": false,
  "addressed_gaps": [],
  "pending_tasks": [{"id": "T-1.1", "description": "...", "acceptanceCriteria": ["AC-001"]}],
  "completed_tasks": [],
  "manual_tasks": [],
  "decision_table_path": ".closedloop-ai/decision-tables/pln-001.md",
  "decision_table_status": "pending"
}

{
  "status": "FORMAT_ISSUES",
  "issues": ["Missing required field: openQuestions", "Task missing checkbox in content: '- **T-1.2**: ...'"],
  ...
}

© closedloop-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in plugins/code/skills/plan-validate of closedloop-ai/claude-plugins.

• SKILL.md
• scripts/conftest.py
• scripts/test_auto_sync_answers.py
• scripts/test_validate_plan.py
• scripts/validate_plan.py

Open the folder on GitHubat commit 476b54c