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@bergetai/guardrails-md

v0.7.0

Published

GUARDRAILS.md gate for opencode, pi and Claude Code (hooks module): a System One decision model (TypeSafe Jev) judges every bash command before it runs — destructive / credentials / GUARDRAILS.md policy

Readme

guardrails-md

Stops your coding agent from running the bash command you'd regret.

Every bash command your coding agent (opencode, pi or Claude Code) is about to execute is scored by a small decision model first, in about 100 ms. If the command destroys data, leaks a secret, or breaks a rule in your repo's GUARDRAILS.md, the call is blocked and the agent is told why, so it can pick another route.

SystemOne-gate: blocked command — destructive=0.98 > 0.7
  rm -rf ./important-data
Judged destructive/leaking on its own merits — named exceptions in
GUARDRAILS.md do not override this. If it is intended, your human
can run it directly, or restart opencode with SYSTEMONE_GATE=off
for a session that needs it. The agent must not edit GUARDRAILS.md
to work around this.

When it helps

Two situations where a pattern list leaves you exposed.

Teams that work close to production. The agent runs kubectl, helm and git push all day, and the difference between routine and incident is your team's policy, not a filename pattern. The gate reads that policy from GUARDRAILS.md and applies it to every command.

Background agents that read mail, tickets or forms. Their input is written by strangers, and a crafted message can talk an agent into running something harmful. No one is watching when it happens. The gate does not promise that the agent cannot be persuaded — it promises that the boundary holds anyway, because the gate judges the command and your rules, not the conversation that led to it.

Quickstart

Two steps. First teach the gate your rules, then put it in the harness.

1. Add GUARDRAILS.md to your repo (root, .opencode/GUARDRAILS.md, .pi/GUARDRAILS.md or .claude/GUARDRAILS.md; the legacy lowercase guardrails.md spellings are still read). Write it yourself — the value is in deciding what your team actually allows, not in shipping a generic file. The example below is a starting point for the shape:

# Guardrails for agents in this repo

## The agent MUST NOT

- Edit this file (GUARDRAILS.md) itself — it is written and changed by humans, through review.
- Change anything in production — production changes reach production only through Git/CD.
- Push directly to the main branch — all changes go through pull request.
- Install software outside the project's declared dependencies.
- Send data to external services outside our approved list (docs/approved-domains.md).
- Run irreversible operations against shared systems — deletions, cleanup, resets.

## The agent MAY

- Inspect any environment read-only.
- Run tests, lint, and builds locally.
- Create branches and push feature branches.
- Read documentation from the approved sources in docs/approved-domains.md.

The gate reads the file once at session start, so restart the harness after editing. Only the first 2000 characters are sent to the model, so keep the file short and put the MUST NOT rules first. If the file is longer, the gate warns you at startup and in every block message, and the rules after the cut are not applied. See guardrails.example.md — copy it to GUARDRAILS.md.

2. Install the gate in your harness.

For opencode, add the plugin to opencode.json (global or per project):

{
  "plugin": ["@bergetai/guardrails-md"]
}

The package was called @bergetai/opencode-guardrails-md up to 0.5.1. That name is deprecated; replace it with @bergetai/guardrails-md in your config.

For pi, install the same package from npm (add -l to install it for the current project only):

pi install npm:@bergetai/guardrails-md

To run pi from a clone instead, use pi install ./ in the cloned repo after npm install.

For Claude Code, install from this repo's marketplace, at the prompt of a running session:

/plugin install guardrails-md --marketplace berget-ai/guardrails-md

Answer y to add the marketplace, then pick a scope; the user scope loads it in every session from then on. It is a hooks module that Claude Code loads in-process from hooks/hooks.json, so there is no build step and no npm install. To run it from a clone for one session instead, use claude --plugin-dir ./guardrails-md.

Hooks modules are an early-access Claude Code API (checked on 2.1.291); the engine may change them between releases. Claude Code has no Berget seat token — set BERGET_API_KEY (below) for this harness.

Set a key and restart the harness (plugins and extensions load at startup):

export BERGET_API_KEY=…

Keys come from berget.ai. The free tier includes €5 of credit, and a gate call is small enough that it lasts a long time. If you are logged in to Berget in your harness (@bergetai/opencode-auth in opencode, /login in pi), skip the key: the gate picks up your seat token. If you run your own System One-compatible endpoint, point BERGET_BASE_URL at it instead.

From now on, every bash command your agent runs has to pass your guardrails before it is allowed. Above the threshold the command is blocked with an explanation the agent can read; below it, it runs.

Git pre-commit hook

The same judgement works as a git pre-commit hook: every commit's staged diff is scored before it enters the repository. Personal data (GDPR) and secrets are blocked; the team's own names in bylines and author fields pass.

Install for every repo on your machine (uses your global core.hooksPath if you have one, otherwise copy to .git/hooks/pre-commit per repo):

curl -o ~/.git-hooks/guardrails-pre-commit \
  https://raw.githubusercontent.com/berget-ai/guardrails-md/main/hooks/pre-commit
chmod +x ~/.git-hooks/guardrails-pre-commit

Then chain it from your global pre-commit hook (or create one):

# ~/.git-hooks/pre-commit
python3 ~/.git-hooks/guardrails-pre-commit || exit 1

Same env config as the plugin. Fail-closed by default: if the endpoint is unreachable the commit is blocked — retry, or set SYSTEMONE_FAIL_OPEN=1.

Why a model and not a regex

A deny-list of patterns knows rm -rf. It does not know that your team forbids pushing to main but allows feature branches, or that kubectl get is fine in prod while kubectl apply is not. Asking a second LLM to review each command does know that, at the price of a full generation per command.

System One is a decision model: it reads the command plus your written rules and returns scores for a fixed set of questions in a single forward pass. That makes two things possible.

The gate follows your policy. With the example guardrails below, git push origin HEAD:main is a violation and git push origin feature/x is not, even though both are a git push.

It also catches what the driving model shrugs at. An agent that prints a .env file to "check the config" sees a harmless read. The gate sees credentials leaving the file.

How well it judges

berget/bev is fine-tuned on 221,759 judged decisions from real operations traffic — privacy and risk calls, memory decisions, routing, evasion attempts — with labels validated by a stronger model and human review. Held-out accuracy, against the base model it is built on:

| Test | What it measures | Base model | berget/bev | |---|---|---|---| | Risk (16,902 questions) | credentials and destructive content in ops text | 93.5% | 97.0% | | Memory (7,456) | what is worth remembering | 64.6% | 90.7% | | Router (5,679) | routing decisions | 27.3% | 74.4% | | Evasion holdout (90) | evasion attempts never seen in training | 65.6% | 93.3% | | EU risk (43) | EU AI Act risk classification | 70% | 95% | | Red team (34) | adversarial commands | 53% | 74% | | Jev bench (1,200) | general Jev questions, outside our domain | 80.6% | 82.8% |

Read the table with two caveats. The test splits come from the same corpora as training, so they measure fit to this kind of traffic, not performance on your traffic. And the weakest rows are the honest ones: adversarial commands sit at 74%, which is why the gate is one layer and not the whole defense.

What it asks

| Question | Meaning | |---|---| | destructive | Does the command delete, overwrite, or irreversibly destroy data, databases, clusters, or infrastructure? Version-control-recoverable effects (git rm, checkout, branch operations) and removed build artifacts/caches are not irreversible — but in GitOps repositories a push can trigger irreversible infrastructure changes, so the actual effect is what gets judged. | | credentials | Does the command contain, print, or send credentials, secrets, API keys, or tokens? | | guardrails_violation | Does the command violate the team's GUARDRAILS.md? Asked only when the file exists. | | policy_exception | Does the guardrails text explicitly name this command as allowed? Vague permissions do not count. Asked only when the file exists. |

Each answer is a score between 0 and 1. Anything above the threshold (default 0.7) blocks the tool call before execution, and the error message goes back to the agent. The four questions are not interchangeable, and the difference matters:

  • guardrails_violation is about your policy, and policy false positives are fixable in the policy: a command the guardrails text explicitly names as allowed passes. The exception must be precise — "may manage databases" does not unlock rm -rf /var/lib/postgresql.
  • destructive and credentials are about the command's nature, and named exceptions do not override them. Those two are the backstop, and GUARDRAILS.md is agent-editable between sessions — a file line must not be able to switch the backstop off.

Protected files

Some files are not judged, they are simply out of the agent's reach. The edit, write and patch tools refuse to touch a list of paths, relative to the project root (an entry ending in / protects everything below it; no globs):

GUARDRAILS.md
.agents/GUARDRAILS.md
.opencode/GUARDRAILS.md
.pi/GUARDRAILS.md
.claude/GUARDRAILS.md
the same five paths in lowercase — legacy aliases, each matched case-insensitively
opencode.json
opencode.jsonc
.opencode/
.pi/
.claude/settings.json
.claude/settings.local.json
.github/workflows/

While the gate is on, the refusal is deterministic — no model call, no threshold, no cooldown, and retrying costs nothing — and the message tells the agent whose file this is:

SystemOne-gate: protected file — GUARDRAILS.md
  Policy and harness configuration are edited by your human, not the agent.
  Ask them to make the change and restart opencode.

Why this list: the gate freezes GUARDRAILS.md at session start, but a session that could rewrite it with the Edit tool could rule the next session under its own rules — the same self-approval hole as the removed allow-file. .opencode/ and .pi/ hold the gate's own plugin and extension files; .claude/settings*.json can disable the plugin (the rest of .claude/ — CLAUDE.md, skills, rules — is content an agent legitimately edits); .github/workflows/ is what runs your CI. Symlinks are resolved in every harness, so a link that lands on a protected file is protected under its own name too. Matching ignores case on every platform, so Guardrails.MD is protected as well.

The list guards the file-editing tools, not bash: echo >> GUARDRAILS.md is not matched against the list — it goes to the decision model like every other command, subject to its judgement and your GUARDRAILS.md.

Overriding a block

The agent cannot disable the gate or un-block a command by retrying, and there is no override file it could write. The agent-reachable influence left is narrow: the repo's GUARDRAILS.md itself is frozen for the running session, and the edit tools refuse to touch it (and the other protected paths) at all — see Protected files. A rewrite can still be attempted through bash, where it goes to the decision model like every other command. Treat GUARDRAILS.md changes as code review, and unattended agents should treat the file as untrusted input. Your overrides:

  • Once: restart the harness with SYSTEMONE_GATE=off and redo the step.
  • Tune: raise SYSTEMONE_THRESHOLD (it must stay below 1) if the gate is too jumpy for your taste.
  • Fix the policy: if the block is a false positive against your rules, change GUARDRAILS.md. That is the durable fix, and since the file lives in the repo, the change goes through review like any other edit.

Disclaimer

The gate is a trained model, not a deterministic rule engine. berget/bev scores around 96% on our held-out test sets — high, but not 100%, and it will occasionally judge a command wrong in both directions: blocking something safe, or letting something risky through. Berget provides the gate as a tool, not a guarantee, and accepts no liability for decisions it gets wrong or for damage done by commands it let pass. Keep the override and audit paths, and treat the gate as one layer among several — scoped credentials, sandboxes and human review still matter.

What it doesn't do

  • It gates bash commands only. Other tool calls pass through, except that the file-editing tools refuse to touch protected paths. Every argument that points to an existing file is read and judged together with the command — whatever tool would run it (bash x.sh, perl x.pl, dotnet x.csx, awk -f x.awk, a data file passed to anything). This closes the write-then-run bypass where an agent writes logic with the ungated edit tools and executes it with an innocuous command line, and it needs no interpreter blocklist — those are never complete. Inline code (perl -e '…') is already part of the command text. One level deep, 4 kB per file, up to three files, binaries skipped: network-fetched payloads (curl … | sh) remain a gap, and a determined agent with write access can still be creative. This is one layer, not a sandbox.
  • It fails closed. If the endpoint is unreachable the command is blocked until the endpoint responds again. That is deliberate: with fail-open, an agent could induce the failure itself — hammer the endpoint until it is rate-limited, or drain the account quota — and then run anything unchecked. Transient hiccups are absorbed by the SDK's retries with backoff; a persistent failure blocks, and the agent relays the error. Interactive users who prefer availability can set SYSTEMONE_FAIL_OPEN=1, knowingly.
  • It sends every command to the endpoint to be judged. Berget has a zero data retention policy and operates under EU data protection law, so a command that contains something sensitive is scored and not stored. If you would still rather keep it in-house, run your own endpoint.
  • It is one layer. The driving model's own refusals are another, and neither replaces scoped credentials or a sandbox.
  • Earlier versions read an override file at ~/.cache/opencode/systemone-gate.allow. That mechanism is removed — the agent could write the file itself — and the file is now ignored.
  • It does not decode obfuscated payloads. A command like echo <base64> | base64 -d | sh is judged on its visible text, and in our testing an encoded rm -rf inside a base64 blob scored as harmless. Direct instruction injection aimed at the model — "ignore previous instructions", fake JSON answers, authority claims, prompts in other languages — did not move the verdict in any of eight tested cases, but encoding is a real gap. If your agents run untrusted input, treat encoded pipelines as blocked territory in GUARDRAILS.md.

Configuration

| Variable | Default | Meaning | |---|---|---| | (seat token) | auto | Berget seat auth from the harness's login (see Harness differences) | | BERGET_API_KEY | – | Bearer token for CI/headless (fallback: TYPESAFE_API_KEY) | | BERGET_BASE_URL | https://api.berget.ai | Gateway root or full /v1/systemone URL (fallback: TYPESAFE_BASE_URL) | | BERGET_MODEL | berget/bev | Model id as exposed by the gateway (fallback: TYPESAFE_DEFAULT_MODEL) | | SYSTEMONE_THRESHOLD | 0.7 | Block threshold, strictly between 0 and 1. Anything else (abc, empty, 0, 1, …) falls back to 0.7 with a warning | | SYSTEMONE_FAIL_OPEN | – | Set to 1 to let commands run when the endpoint is unreachable (default is fail-closed) | | SYSTEMONE_GATE | – | Set to off to disable the gate | | SYSTEMONE_LOG | – | Set to 1 to write the audit log |

Credentials resolve per request: seat token, then BERGET_API_KEY, then TYPESAFE_API_KEY. With no credential at all the gate logs one line and stays inactive.

Circumvention slows itself down

Every block doubles the wait before the next command is judged: 10 ms, 20 ms, 40 ms … with no ceiling. The first nine blocks are imperceptible — a few false positives cost nothing. The first noticeable pause arrives around block ten (5 s), by block twenty an attempt waits 1.5 hours, by block twenty-five almost two days. An agent shopping for variants past the gate runs out of time long before it runs out of ideas.

On top of that, the counter fades with quiet time — one block of memory per 30 minutes — so early false positives heal instead of poisoning the whole session. The fade is wall-clock: an agent cannot launder the counter by interleaving allowed commands, and one that keeps hammering refreshes the clock on every block, so escalation continues unchanged.

The wait is a visible cooldown, not a silent hang: the next command gets an error saying exactly what is happening —

SystemOne-gate: cooling down after 3 blocked commands — next attempt in ~5 s.
The wait doubles with every block; restarting opencode resets it.

Retrying early returns the same message with the remaining time and does not extend the cooldown. Restarting the harness resets the counter; the audit log records the block count and cooldown with every verdict.

Details

There is no fast path: every command is judged, including git status and ls. Prefix allowlists are the classic seam an agent learns to exploit — ls followed by a newline and rm -rf, or a harmless echo carrying a destructive tail — so the gate does not have one, and neither does it have an override file the agent could write to.

Every command costs one POST /v1/systemone. All questions are answered in the same forward pass, so adding a question type costs milliseconds and no extra round-trip. The questions use the noul type from the System One contract; any endpoint that implements the contract works.

Nothing is written to disk unless you turn on the audit log. With SYSTEMONE_LOG=1, every verdict is appended as JSONL to the harness's log file (see Harness differences) with the full command and all scores. Verdicts you disagree with can be reviewed there and fed back as training data for the next fine-tune. The log holds whatever your commands hold, so treat it as sensitive.

Manual install for opencode: copy core.ts and adapters/opencode.ts into ~/.config/opencode/plugins/guardrails-md/ (global) or .opencode/plugins/guardrails-md/ (per project), keeping the adapters/ folder, and register "plugin": ["./plugins/guardrails-md/adapters/opencode.ts"]. Manual installs need @typesafe-ai/sdk resolvable (npm install -g @typesafe-ai/sdk); the npm package brings it as a dependency.

Harness differences

The judging is the same in every harness: same questions, threshold, cooldown and fail-closed default. opencode and pi share core.ts; the Claude Code module carries its own copy of the questions, decision, block wording and cooldown, because a hooks module runs without Node and imports only files of the plugin. Keep the two in step when editing either. What differs is where the gate looks.

| | opencode | pi | Claude Code | |---|---|---|---| | Hook | tool.execute.before: bash judged; edit, write and apply_patch checked against the protected paths | tool_call, including calls a codemode script makes: bash judged; edit and write checked against the protected paths | hooks module: tool.call on Bash and on Monitor when it runs a command; Edit, Write and NotebookEdit checked against the protected paths; session.start freezes the policy, the root and the environment | | On block | throws; the agent reads the message | returns { block, reason } to the agent and shows a warning to you (on stderr in pi -p) | answers { deny }; Claude reads the reason | | Without a credential | inactive; one log line with SYSTEMONE_LOG=1 | inactive; warns you once per session (on stderr in pi -p) | inactive; a toast warns you at session start | | Seat token | $XDG_DATA_HOME/opencode/auth.json (default ~/.local/share) | pi's Berget login, OAuth or API key, resolved by pi itself; then the OAuth entry in $PI_CODING_AGENT_DIR/auth.json (default ~/.pi/agent) | none — BERGET_API_KEY (or TYPESAFE_API_KEY) only | | Policy file | GUARDRAILS.md, then .opencode/GUARDRAILS.md (lowercase legacy names after) | GUARDRAILS.md, then .pi/GUARDRAILS.md (lowercase legacy names after) | GUARDRAILS.md, then .claude/GUARDRAILS.md (lowercase legacy names after) | | Policy read from | the project directory opencode passes the plugin | the directory pi was started in | the session's directory, frozen at session.start | | Audit log | ~/.cache/opencode/systemone-gate.log | ~/.cache/pi/systemone-gate.log | not supported ($.fs cannot append) | | Protected files | edit, write, apply_patch refuse protected paths; a block throws | edit and write refuse protected paths; a block returns { block, reason } and warns you | Edit, Write and NotebookEdit refuse protected paths; the module answers { deny }. Symlinks are resolved in all three |

In pi, /reload counts as a restart: it re-reads GUARDRAILS.md and resets the cooldown. pi's powershell tool is not gated; if a repo enables it in .pi/settings.json, commands run through it skip the gate.

In Claude Code, the module lives as long as the session, so the frozen policy, the environment and the cooldown stay in memory, as in opencode and pi. session.start fires once per session and not on /compact, so compaction neither re-reads GUARDRAILS.md nor resets the cooldown; /clear keeps both too. Starting a new session, or a hot reload while developing the plugin, re-reads GUARDRAILS.md and resets the cooldown.

Claude Code skips a hook that throws or overruns and lets the call through, so the module attaches a .catch handler that denies instead: the gate fails closed. If session.start never ran, every command is denied. The endpoint call goes through Claude Code's own $.http.fetch: when your organization's web-fetch policy refuses api.berget.ai (or your BERGET_BASE_URL), the call fails and the command is denied like any unreachable endpoint (or allowed with SYSTEMONE_FAIL_OPEN=1). The call times out after 5 s, as the SDK's does in opencode and pi, and a timeout is treated like an unreachable endpoint. Unlike the SDK, the module makes one attempt with no retry on 429 or 5xx. The SYSTEMONE_* and BERGET_* variables are read once, at session.start; changing them takes a new session.

Bash is gated, and so is Monitor when it runs a shell command (a Monitor watching a WebSocket runs nothing and passes). PowerShell is not gated, mirroring pi's decision: on Windows without Git Bash, where Claude Code registers only PowerShell, the gate never fires. Edit, Write and NotebookEdit are not judged, but refuse writes to the protected paths.

To test the module, run npm run test:claude. It copies the plugin to a temp folder and runs claude plugin test there, because that command would otherwise pick up the vitest files.

License

MIT