Guard

Skill PJuniszewski/cook/.claude/skills/guard

Install

npx -y skills add PJuniszewski/cook --skill guard

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Analyze and prepare prompts with JSON for safe context submission

SKILL.md

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Context Guard Skill

Epistemic safety analysis for JSON data in prompts. Prevents LLMs from reasoning with unjustified certainty when input data is incomplete.

Features

Lossless reduction - Minify, columnar transform, remove nulls
Token counting - API or heuristic fallback
Decision engine - ALLOW / SAMPLE / BLOCK
Intelligent trimming - First + last + evenly-spaced sampling
Forensic detection - Warns when specific record queries detected

Usage

When /guard is invoked, execute the guard script:

For file paths:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/guard_cmd.py" "<file_path>" [options]

For inline JSON data:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/guard_cmd.py" - [options] <<'GUARD_INPUT'
<json_data>
GUARD_INPUT

Options

Option	Description
`--mode`	analysis\|summary\|forensics (default: auto-detect)
`--force`	Bypass blocks, emit warnings only
`--allow-sampling`	Permit sampling for forensic queries
`--no-reduce`	Skip lossless reduction phase
`--budget-tokens N`	Token budget (default: 3500)
`--print-only`	Output report only, never auto-send
`--json`	Output result as JSON

Semantic Modes

Mode	Sampling	Use Case
`analysis`	Allowed	"What categories exist?", "Price range?"
`summary`	Aggressive	"Describe the data structure"
`forensics`	BLOCKED	"Why did request id=X fail?"

Output

============================================================
CONTEXT GUARD ANALYSIS
============================================================

Decision: [OK] ALLOW | [~] SAMPLE | [X] BLOCK
Mode: analysis | summary | forensics

TOKEN ANALYSIS:
  Original:     5,234 tokens
  After reduce: 4,891 tokens (-343)
  Budget:       3,500 tokens
============================================================

Requirements

Python 3.8+
ANTHROPIC_API_KEY environment variable (for token counting)