instrument-agent

instrument-agent is a skill for Claude Code, Codex from ucsandman/dashclaw-skills. It costs 19 tokens per session (2,180 once invoked), scanned A, a copy of instrument-agent, MIT.

A guide for adding the DashClaw software development kit (SDK) to an AI agent. The integration follows four steps: check permission, record the action, verify assumptions, and record the result.

In plain words
What is it for?
It helps instrument agents written in Node.js or Python, configure their DashClaw connection, and track decisions through the governance loop.
Why use it?
Without a consistent record, it is hard to know why an agent acted, what it believed, and whether the action succeeded. This connects an agent's decisions and outcomes to DashClaw.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/_run-with-env.mjs scripts/test-sdk-live.mjs.

Good fit It helps instrument agents written in Node.js or Python, configure their DashClaw connection, and track decisions through the governance loop.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/ucsandman/dashclaw-skills
agentmods
npx agentmods add skills/ucsandman/dashclaw-skills/instrument-agent

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 instrument-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/instrument-agent/github.svg)](https://agentmods.dev/skills/ucsandman/dashclaw-skills/instrument-agent)
Your own site
<a href="https://agentmods.dev/skills/ucsandman/dashclaw-skills/instrument-agent"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/instrument-agent/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 instrument-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/ucsandman/dashclaw-skills/instrument-agent"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/instrument-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,180 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00019 $0.02180
Opus 5 $0.00010 $0.01090
Sonnet 5 $0.00004 $0.00436
Haiku 4.5 $0.00002 $0.00218

Measured 10d ago against content hash b3000fbce893, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

instrument-agent scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sf "$DASHCLAW_BASE_URL/api/health" | jq '.status'
Origin

This is a copy

100% identical to instrument-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/instrument-agent/SKILL.md · 313 lines

How it starts

The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instrument Your Agent with DashClaw

Help developers add DashClaw governance to any AI agent. Walk through the 4-step governance loop with working code.

The 4-Step Governance Loop

Every governed decision follows this deterministic flow:

1. Guard  → "Can I do this?"           (POST /api/guard)
2. Record → "I am doing this."         (POST /api/actions)
3. Verify → "I believe this is true."  (POST /api/assumptions)
4. Outcome → "This was the result."    (PATCH /api/actions/:id)

Step 0: Install & Initialize

Node.js

npm install dashclaw
import { DashClaw } from 'dashclaw';

const claw = new DashClaw({
  baseUrl: process.env.DASHCLAW_BASE_URL,
  apiKey: process.env.DASHCLAW_API_KEY,
  agentId: 'my-agent'
});

Python

pip install dashclaw
from dashclaw import DashClaw

claw = DashClaw(
    base_url=os.environ["DASHCLAW_BASE_URL"],
    api_key=os.environ["DASHCLAW_API_KEY"],
    agent_id="my-agent"
)

Create a session to track the full lifecycle of your agent's work. Sessions enable monitoring, recovery, and continuity across restarts.

// Create a session at agent startup
const session = await fetch(`${baseUrl}/api/sessions`, {
  method: 'POST',
  headers: { 'Authorization': `Bearer ${apiKey}`, 'Content-Type': 'application/json' },
  body: JSON.stringify({ agent_id: 'my-agent', metadata: { task: 'deploy-pipeline' } })
}).then(r => r.json());

// Report status during execution
await fetch(`${baseUrl}/api/sessions/${session.id}`, {
  method: 'PATCH',
  headers: { 'Authorization': `Bearer ${apiKey}`, 'Content-Type': 'application/json' },
  body: JSON.stringify({ status: 'running', checkpoint: { step: 'guard-check' } })
});

Session lifecycle is optional — all governance loop steps work without it — but it provides visibility into long-running agent tasks and enables automatic recovery when sessions are interrupted.

Read the full file on GitHub · 313 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. 10d ago First seen · 313 lines · 19 tokens per session scan A b3000fbce893

Subscribe to this mod's changes

instrument-agent is a skill published in the GitHub repository ucsandman/dashclaw-skills (2 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 2,180 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to instrument-agent, differing in 0 lines, and is treated as a copy.

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