people-ops

people-ops is a skill for Claude Code, Codex from saolalab/clawforce. It costs 48 tokens per session (2,825 once invoked), scanned A, original, Apache-2.0.

A people-operations framework for handling employee performance, feedback, engagement, workplace problems, departures, and company policies.

In plain words
What is it for?
Use it to prepare performance reviews, one-to-ones, engagement surveys, improvement plans, exit interviews, and policy updates.
Why use it?
It gives managers a repeatable way to document sensitive employee processes instead of starting from a blank page.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/saolalab/clawforce/people-ops
Any agent
npx skills add saolalab/clawforce --skill people-ops
Clone the repo
git clone --depth 1 https://github.com/saolalab/clawforce

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 people-ops

README.md
[![agentmods](https://agentmods.dev/badge/skills/saolalab/clawforce/people-ops.svg)](https://agentmods.dev/skills/saolalab/clawforce/people-ops)
Your own site
<a href="https://agentmods.dev/skills/saolalab/clawforce/people-ops"><img src="https://agentmods.dev/badge/skills/saolalab/clawforce/people-ops.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,825 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00048 $0.02825
Opus 5 $0.00024 $0.01412
Sonnet 5 $0.00010 $0.00565
Haiku 4.5 $0.00005 $0.00282

Measured 4d ago against content hash d959f6898d0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

people-ops 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 4d 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.

marketplace/roles/hr-manager/workspace/skills/people-ops/SKILL.md · 389 lines

How it starts

The opening of the file, as written. The whole thing — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.

People Operations

Performance Review Template

# Performance Review: {Employee Name} — {Period}

**Review Period**: {Start Date} to {End Date}
**Reviewer**: {Manager Name}
**Date**: {Review Date}
**Role**: {Job Title}

## Overall Performance Rating

**Rating**: Exceeds Expectations / Meets Expectations / Below Expectations / Needs Improvement

**Summary**: {2-3 sentence summary of overall performance}

## Goals & Objectives

### Goal 1: {Goal Description}
- **Status**: Achieved / Partially Achieved / Not Achieved
- **Results**: {Specific outcomes and metrics}
- **Notes**: {Additional context}

### Goal 2: {Goal Description}
- **Status**: Achieved / Partially Achieved / Not Achieved
- **Results**: {Specific outcomes and metrics}
- **Notes**: {Additional context}

### Goal 3: {Goal Description}
- **Status**: Achieved / Partially Achieved / Not Achieved
- **Results**: {Specific outcomes and metrics}
- **Notes**: {Additional context}

## Strengths & Achievements

- {Strength 1 with specific examples}
- {Strength 2 with specific examples}
- {Strength 3 with specific examples}

## Areas for Development

- {Development area 1 with specific examples and suggestions}
- {Development area 2 with specific examples and suggestions}

## Feedback from Peers (360 Review)

### Positive Feedback Themes
- {Theme 1: e.g., "Strong collaboration skills"}
- {Theme 2: e.g., "Reliable and dependable"}

### Development Suggestions
- {Suggestion 1}
- {Suggestion 2}

## Development Plan

### Short-term Goals (Next Quarter)
- {Goal 1}
- {Goal 2}
- {Goal 3}

### Development Activities
- {Activity 1: e.g., "Attend leadership training"}
- {Activity 2: e.g., "Take on project management responsibility"}
- {Activity 3: e.g., "Mentor junior team member"}

### Support Needed
- {Support 1: e.g., "Additional training resources"}
- {Support 2: e.g., "More frequent check-ins"}

## Career Growth

### Career Interests
{Employee's stated career interests and goals}

### Growth Opportunities
{Potential paths for advancement or skill development}

## Employee Comments

{Space for employee to provide their own comments and feedback}

---

**Employee Signature**: _________________ **Date**: _________

**Manager Signature**: _________________ **Date**: _________

Read the full file on GitHub · 389 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. 4d ago First seen · 389 lines · 48 tokens per session scan A d959f6898d0a

Subscribe to this mod's changes

people-ops is a skill published in the GitHub repository saolalab/clawforce (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 2,825 once invoked, about $0.0002 per session on Opus 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.