# agent-estimation

> agent-estimation — hjw21century-agent-estimation. Use this tool when you need to accurately estimate AI agent work effort, as it solves the problem of unreliable estimates by utilizing the agent's own operational units, such as tool-call rounds. This tool takes in agent operational data as input and outputs a reliable estimate of work effort, streamlining project planning and resource allocation. It is particularly useful in contexts where agent work effort needs to be optimized, such as in large-scale AI deployments or complex task automation.

Canonical page: https://skillsregistry.net/skills/hjw21century-agent-estimation  
JSON: https://api.skillsregistry.net/v1/skills/hjw21century-agent-estimation

## Description

Accurately estimate AI agent work effort using the agent's own operational units (tool-call rounds) instead.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/hjw21century-agent-estimation)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hjw21century-agent-estimation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hjw21century-agent-estimation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hjw21century-agent-estimation/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt