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gateguard

Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.

gateguard 是什么?

gateguard is a Claude Code agent skill that fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.

兼容平台Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/gateguard

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文档

GateGuard — Fact-Forcing Pre-Action Gate

A PreToolUse hook that forces Claude to investigate before editing. Instead of self-evaluation ("are you sure?"), it demands concrete facts. The act of investigation creates awareness that self-evaluation never did.

When to Activate

  • Working on any codebase where file edits affect multiple modules
  • Projects with data files that have specific schemas or date formats
  • Teams where AI-generated code must match existing patterns
  • Any workflow where Claude tends to guess instead of investigating

Core Concept

LLM self-evaluation doesn't work. Ask "did you violate any policies?" and the answer is always "no." This is verified experimentally.

But asking "list every file that imports this module" forces the LLM to run Grep and Read. The investigation itself creates context that changes the output.

Three-stage gate:

1. DENY  — block the first Edit/Write/Bash attempt
2. FORCE — tell the model exactly which facts to gather
3. ALLOW — permit retry after facts are presented

No competitor does all three. Most stop at deny.

Evidence

Two independent A/B tests, identical agents, same task:

TaskGatedUngatedGap
Analytics module8.0/106.5/10+1.5
Webhook validator10.0/107.0/10+3.0
Average9.06.75+2.25

Both agents produce code that runs and passes tests. The difference is design depth.

Gate Types

Edit / MultiEdit Gate (first edit per file)

MultiEdit is handled identically — each file in the batch is gated individually.

Before editing {file_path}, present these facts:

1. List ALL files that import/require this file (search the tree — Glob/Grep, or find/grep via Bash)
2. List the public functions/classes affected by this change
3. If this file reads/writes data files, show field names, structure,
   and date format (use redacted or synthetic values, not raw production data)
4. Quote the user's current instruction verbatim

Write Gate (first new file creation)

Before creating {file_path}, present these facts:

1. Name the file(s) and line(s) that will call this new file
2. Confirm no existing file serves the same purpose (search the tree — Glob/Grep, or find/grep via Bash)
3. If this file reads/writes data files, show field names, structure,
   and date format (use redacted or synthetic values, not raw production data)
4. Quote the user's current instruction verbatim

Destructive Bash Gate (every destructive command)

Triggers on: rm -rf, git reset --hard, git push --force, drop table, etc.

1. List all files/data this command will modify or delete
2. Write a one-line rollback procedure
3. Quote the user's current instruction verbatim

Routine Bash Gate (once per session)

1. The current user request in one sentence
2. What this specific command verifies or produces

Parallel Batches and Partial Application

The first-touch gate evaluates each tool call independently. When several edits to a file that has not been touched yet are sent in one parallel batch, the first call is denied and the denial marks the file as checked, so the sibling edits in that batch are applied. Nothing is rolled back: the file can end up holding the sibling edits without the denied one.

The denial message names the file and warns that batch siblings may already have been applied. Treat it literally:

  • Send dependent edits to a not-yet-touched file sequentially, not in a parallel batch. A definition and its first use, or an import and its call site, must not ride in the same batch.
  • After a first-touch denial, present the facts, retry the denied edit, and re-read the file before building on anything else from the batch.

A batch-wide lock is not possible: hooks see tool calls one at a time, so the gate cannot know which calls arrived together.

Quick Start

Option A: Use the ECC hook (zero install)

The hook at scripts/hooks/gateguard-fact-force.js is included in this plugin. Enable it via hooks.json.

If GateGuard blocks setup or repair work, start the session with ECC_GATEGUARD=off. For hook-level control, keep using ECC_DISABLED_HOOKS with the GateGuard hook ID.

In long sessions, only the first GATEGUARD_FACT_FORCE_FULL_DENIALS fact-force denials (default 3) emit the full four-fact block; later denials are condensed to a single line carrying the denial ordinal, so near-identical blocks cannot accumulate in the context window and amplify model repetition loops (#2142). Retrying the same file or command after presenting facts never re-triggers the gate.

Graduated controls

ECC_GATEGUARD=off (or GATEGUARD_DISABLED=1) turns the gate off entirely. The variables in this table do not — each narrows one behaviour while the load-bearing destructive-Bash checks keep running:

VariableDefaultEffect
GATEGUARD_BASH_ROUTINE_DISABLEDunset (gate on)Disables the routine-Bash gate only. The destructive-Bash gate (rm -rf, git reset --hard, drop table, dd if=, …) is unaffected.
GATEGUARD_EXEMPT_GLOBSunset (no exemptions)Comma-separated globs; a matching Edit/Write/MultiEdit target skips first-touch fact-forcing. Intended for low-import-value trees (tests, generated artifacts, scratch dirs) where "who imports this / what schema" carries no signal.
GATEGUARD_FACT_FORCE_FULL_DENIALS3How many denials emit the full four-fact block before later ones condense to a single line. 0 condenses from the very first denial.
GATEGUARD_BASH_EXTRA_DESTRUCTIVEunsetExtra destructive-command patterns, as regex source, added to the built-in set. A malformed regex is treated as unset (built-ins still apply) and logged once to stderr.
GATEGUARD_STATE_DIR~/.gateguardWhere per-session gate state is kept. If state cannot be persisted the gate allows the operation rather than looping, and names this variable in the warning.

GATEGUARD_BASH_ROUTINE_DISABLED accepts 1, true, on, enabled, enable, or yes (case- and whitespace-insensitive); any other value leaves the gate on.

Turning the gate off completely

VariableEffect
ECC_GATEGUARD=offDisables GateGuard for the session. Accepts 0, false, off, disabled, or disable.
GATEGUARD_DISABLED=1Same effect. Recognises 1 only — the spellings above do not apply here.

For hook-level control, keep using ECC_DISABLED_HOOKS with the GateGuard hook ID.

Glob semantics for GATEGUARD_EXEMPT_GLOBS

Patterns match the entire project-relative target path. The project root is CLAUDE_PROJECT_DIR, falling back to the hook payload's cwd, then the hook process working directory. Relative globs never exempt targets outside that root. Explicit absolute globs match the entire absolute target path and may deliberately exempt paths outside the project.

Both patterns and paths use / separators and lowercase matching. * matches within a segment, ** across segments, and ? one non-separator character. **/ includes zero directories, so **/tests/** also matches tests/foo.js. Malformed patterns are dropped without granting an exemption.

Since 2.2.1, services/** only covers the project's root services tree, and *.md only covers its root Markdown files. Use **/*.md for all Markdown files within the project. Existing unanchored exemptions may need adjustment:

{
  "env": {
    "GATEGUARD_BASH_ROUTINE_DISABLED": "1",
    "GATEGUARD_EXEMPT_GLOBS": "**/tests/**,tests/**,**/*.test.*,**/docs/**,**/dist/**"
  }
}

Option B: Full package with config

pip install gateguard-ai
gateguard init

This adds .gateguard.yml for per-project configuration (custom messages, ignore paths, gate toggles).

Anti-Patterns

  • Don't use self-evaluation instead. "Are you sure?" always gets "yes." This is experimentally verified.
  • Don't skip the data schema check. Both A/B test agents assumed ISO-8601 dates when real data used %Y/%m/%d %H:%M. Checking data structure (with redacted values) prevents this entire class of bugs.
  • Don't gate every single Bash command. Routine bash gates once per session. Destructive bash gates every time. This balance avoids slowdown while catching real risks.

Best Practices

  • Let the gate fire naturally. Don't try to pre-answer the gate questions — the investigation itself is what improves quality.
  • Customize gate messages for your domain. If your project has specific conventions, add them to the gate prompts.
  • Use .gateguard.yml to ignore paths like .venv/, node_modules/, .git/.

Related Skills

  • safety-guard — Runtime safety checks (complementary, not overlapping)
  • code-reviewer — Post-edit review (GateGuard is pre-edit investigation)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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