bmdhodlbmdhodl/agent47/skills/agentguard/SKILL.md

agentguard

Skill4 starsChanged 40 days agoMITView on GitHub

Runtime guardrails for AI coding agents. Recorded-budget preflight, loop, retry, and timeout checks in instrumented Python. Zero dependencies, local-first, MIT licensed.

Installs packages

2 other projects use a version of this.

Adopted by

Most recently taken up by

GoPlusSecurity/agentguardtheir own version, first seen Oct 8, 2026
kunwl123456/zeroclaw-skills-collectiontheir own version, first seen Feb 19, 2026

Other versions2 projects use a version of this.
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GoPlusSecurity/agentguard★ 486same name
kunwl123456/zeroclaw-skills-collection★ 27same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository5 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- llms.txtllms.txt
- next-ticketSkill

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SKILL.md

AgentGuard

Runtime guardrails for coding agents. Recorded-budget preflight, loops, retries, and timeouts on instrumented Python paths. Zero dependencies. Local-first. This skill is onboarding, not host enforcement. See docs/enforcement-boundary.md.

Install

pip install agentguard47

Verify the install:

agentguard doctor

Quick Start (4 lines)

from agentguard import Tracer, BudgetGuard, patch_openai

budget = BudgetGuard(max_cost_usd=5.00, warn_at_pct=0.8)
tracer = Tracer(service="support-agent")
patch_openai(tracer, budget_guard=budget)
# Chat Completions are tracked. Exhausted recorded budget refuses the next dispatch.

Guards

Guard	What it stops	Example
`BudgetGuard`	Dollar/token/call overruns	`BudgetGuard(max_cost_usd=5.00)`
`LoopGuard`	Exact repeated tool calls	`LoopGuard(max_repeats=3)`
`FuzzyLoopGuard`	Similar calls, A-B-A-B patterns	`FuzzyLoopGuard(max_tool_repeats=5)`
`TimeoutGuard`	Wall-clock time limits	`TimeoutGuard(max_seconds=300)`
`RateLimitGuard`	Calls-per-minute throttling	`RateLimitGuard(max_calls_per_minute=60)`
`RetryGuard`	Retry storms on flaky tools	`RetryGuard(max_retries=3)`

Guards raise exceptions (BudgetExceeded, LoopDetected, TimeoutExceeded, RetryLimitExceeded) on instrumented paths. They do not intercept host tools or provider invoices.

One-Liner Init with Defaults

import agentguard

agentguard.init(local_only=True)
# Reads .agentguard.json if present, sets up tracer + budget guard with sensible defaults

Or drop a .agentguard.json in your repo root:

{
  "profile": "coding-agent",
  "service": "my-agent",
  "trace_file": ".agentguard/traces.jsonl",
  "budget_usd": 5.0
}

Tracing

from agentguard import Tracer, JsonlFileSink, BudgetGuard

tracer = Tracer(
    sink=JsonlFileSink("traces.jsonl"),
    guards=[BudgetGuard(max_cost_usd=5.00)],
)

with tracer.trace("agent.run") as span:
    span.event("reasoning", data={"thought": "search docs"})
    span.cost.add("gpt-4o", input_tokens=1200, output_tokens=450)

Auto-Instrumentation

from agentguard import Tracer, BudgetGuard, patch_openai, patch_anthropic

budget = BudgetGuard(max_cost_usd=5.00)
tracer = Tracer(service="support-agent")
patch_openai(tracer, budget_guard=budget)      # tracks ChatCompletion calls
patch_anthropic(tracer, budget_guard=budget)   # tracks Messages calls

Framework Integrations

LangChain, LangGraph, and CrewAI are supported as optional extras:

pip install agentguard47[langchain]
pip install agentguard47[langgraph]
pip install agentguard47[crewai]

CLI Tools

agentguard doctor              # verify install, no network calls
agentguard demo                # local proof run, no API keys needed
agentguard report traces.jsonl # summarize a trace file
agentguard eval traces.jsonl   # assert properties in CI
agentguard incident traces.jsonl --format html  # postmortem report

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