signaltree-guardrails

signaltree-guardrails is a skill for Claude Code, Codex from JBorgia/signaltree. It costs 92 tokens per session (1,179 once invoked), scanned A, original, Apache-2.0.

A development-only monitor for SignalTree applications that checks update speed, frequently used code paths, memory growth, and registered anti-pattern rules. SignalTree is a JavaScript state-management library.

In plain words
What is it for?
Use it to set update-time budgets, warn or fail on performance problems, identify hot paths, and watch memory behaviour while developing.
Why use it?
It helps reveal slow updates, unusually busy parts of an app, memory problems, and rule violations during development without adding monitoring cost to production builds.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to set update-time budgets, warn or fail on performance problems, identify hot paths, and watch memory behaviour while developing.

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Install with agentmods
npx agentmods add skills/jborgia/signaltree/guardrails
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add JBorgia/signaltree --skill guardrails
Clone the repo
git clone --depth 1 https://github.com/JBorgia/signaltree

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for signaltree-guardrails

README.md
[![agentmods](https://agentmods.dev/badge/skills/jborgia/signaltree/guardrails/github.svg)](https://agentmods.dev/skills/jborgia/signaltree/guardrails)
Your own site
<a href="https://agentmods.dev/skills/jborgia/signaltree/guardrails"><img src="https://agentmods.dev/badge/skills/jborgia/signaltree/guardrails/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for signaltree-guardrails

Your own site · 80×15
<a href="https://agentmods.dev/skills/jborgia/signaltree/guardrails"><img src="https://agentmods.dev/badge/skills/jborgia/signaltree/guardrails.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,179 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00092 $0.01179
Opus 5.5 $0.00037 $0.00472
Sonnet 5.5 $0.00018 $0.00236
Haiku 4.5 $0.00009 $0.00118

Measured 2mo ago against content hash c1ea561ef67c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

signaltree-guardrails scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

docs/skills/using-signaltree/guardrails/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using @signaltree/guardrails

Dev-only enhancer — instruments every update() call, tracks hot paths, watches memory growth, runs rule registry against each change. In production builds, package exports swap to a noop via the production export condition — the enhancer call stays in source but costs zero. If bundler doesn't set production condition, guard manually: isDevMode() ? guardrails({...}) : ((t) => t).

Install (dev dependency):

npm install --save-dev @signaltree/guardrails

Peer: @signaltree/core ^9. Don't install @signaltree/shared — private workspace package; npm will fail to resolve it.

Basic — performance budget + console warnings:

import { signalTree } from '@signaltree/core';
import { guardrails } from '@signaltree/guardrails';

interface AppState {
  items: unknown[];
  ui: { search: string };
}

const tree = signalTree<AppState>({ items: [], ui: { search: '' } }).with(
  guardrails({
    mode: 'warn', // 'warn' | 'throw' | 'silent'
    budgets: {
      maxUpdateTime: 16, // ms per update
    },
    hotPaths: { enabled: true, threshold: 10, topN: 5 },
    reporting: { console: true, interval: 5000, maxIssuesPerReport: 20 },
  })
);

Memory-leak detection + intent suppression:

const tree = signalTree(initial).with(
  guardrails({
    memoryLeaks: {
      enabled: true,
      checkInterval: 5000,
      retentionThreshold: 200,
      growthRate: 0.25,
    },
    suppression: {
      autoSuppress: ['hydrate', 'reset', 'bulk', 'migration', 'time-travel', 'serialization'], // values from intent/source that silence budget warnings
      respectMetadata: true,
    },
  })
);

Valid autoSuppress values (union of intent and source channels that suppression respects): 'hydrate', 'reset', 'bulk', 'migration', 'time-travel', 'serialization'. Valid intent values on UpdateMetadata: 'user', 'system', 'hydrate', 'reset', 'bulk', 'migration'. Valid source values on UpdateMetadata: 'user', 'system', 'devtools', 'time-travel', 'serialization'.

Custom rule (rules run per changed leaf; context.path = string[], context.value = new leaf value; test returns true when rule fires):

import { guardrails, rules } from '@signaltree/guardrails';

const tree = signalTree({ ui: { when: '' } }).with(
  guardrails({
    customRules: [
      rules.noDeepNesting(6),
      rules.noSensitiveData(),
      {
        name: 'no-date-strings-in-ui',
        severity: 'warning',
        test: (context) => context.path[0] === 'ui' && typeof context.value === 'string' && /^\d{4}-\d{2}-\d{2}/.test(context.value as string),
        message: (context) => `ui path "${context.path.join('.')}" holds a date string; use Date in state.`,
      },
    ],
  })
);

Built-in rules from rules registry: rules.noDeepNesting(n), rules.noFunctionsInState(), rules.maxPayloadSize(kb), rules.noSensitiveData().

Pre-baked factory trees (@signaltree/guardrails/factories): createFeatureTree, createAngularFeatureTree, createAppShellTree (strict 4ms budget), createPerformanceTree, createTestTree (mode: 'throw'). Accept (signalTree, initial):

import { createAppShellTree } from '@signaltree/guardrails/factories';
const shell = createAppShellTree(signalTree, initial);

Use mode: 'throw' in test harnesses to fail tests on over-budget updates. Use P50/P95/P99 reporting via reporting.customReporter: (report) => fetch('/telemetry', ...).

Gotchas:

  • Don't install @signaltree/shared — private package, npm resolution fails.
  • maxTreeDepth counts object nesting depth, not path length. A 12-deep branch trips a maxTreeDepth: 10 budget even if rest of tree is flat.
  • trackDownstream: true walks consumer computeds — more accurate, noticeably slower. Only enable when chasing re-computation cycles.
  • Memory-leak checks use structuredClone when available; falls back to JSON clone (skips non-serializable values).
  • Never apply in production without relying on production export condition or isDevMode() guard.

Read the full file on GitHub · 105 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 105 lines · 92 tokens per session scan A c1ea561ef67c

Subscribe to this mod's changes

signaltree-guardrails is a skill published in the GitHub repository JBorgia/signaltree (22 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 92 tokens to every session and 1,179 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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