/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.
$ npx -y skills add affaan-m/ECC --skill gateguard --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/gateguard
Context preview
The summary Claude sees to decide when to auto-load this skill.
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.
SKILL.md
gateguard.SKILL.mdname: gateguard
description: 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.
metadata:
origin: community
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:
| Task | Gated | Ungated | Gap | | --- | --- | --- | --- | | Analytics module | 8.0/10 | 6.5/10 | +1.5 | | Webhook validator | 10.0/10 | 7.0/10 | +3.0 | | **Average** | **9.0** | **6.75** | **+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 verbatimWrite 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 verbatimDestructive 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
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.
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)
Read more
name: gateguard description: 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. metadata: origin: community
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:
| Task | Gated | Ungated | Gap | | --- | --- | --- | --- | | Analytics module | 8.0/10 | 6.5/10 | +1.5 | | Webhook validator | 10.0/10 | 7.0/10 | +3.0 | | **Average** | **9.0** | **6.75** | **+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 verbatimWrite 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 verbatimDestructive 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
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.
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)
Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
Repo: affaan-m/ECC
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