hr-performance-management

hr-performance-management is a skill for Claude Code, Codex from tuanductran/hr-skills. It costs 53 tokens per session (1,193 once invoked), scanned A, original, MIT.

A guide to designing and running employee performance-management systems. It covers goals, OKRs, performance reviews, improvement plans, 360-degree feedback, recognition, and succession planning.

In plain words
What is it for?
Use it to create review forms, set goals and OKRs, design performance metrics, run calibration sessions, create improvement plans, and build recognition or succession programs.
Why use it?
It helps organizations make performance decisions more consistent and connect employee goals with business priorities. It also provides structure for addressing poor performance and planning talent development.

Skill for Claude CodeCodex

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

Good fit Use it to create review forms, set goals and OKRs, design performance metrics, run calibration sessions, create improvement plans, and build recognition or succession programs.

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Install with agentmods
npx agentmods add skills/tuanductran/hr-skills/hr-performance-management
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 tuanductran/hr-skills --skill hr-performance-management
Clone the repo
git clone --depth 1 https://github.com/tuanductran/hr-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin hr-performance-management/plugin install hr-performance-management after adding the marketplace above.

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 hr-performance-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-performance-management/github.svg)](https://agentmods.dev/skills/tuanductran/hr-skills/hr-performance-management)
Your own site
<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-performance-management"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-performance-management/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 hr-performance-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-performance-management"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-performance-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,193 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 $0.00053 $0.01193
Opus 5 $0.00026 $0.00596
Sonnet 5 $0.00011 $0.00239
Haiku 4.5 $0.00005 $0.00119

Measured 8d ago against content hash 33f72743a1c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hr-performance-management 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 8d 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.

skills/hr-performance-management/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HR performance management

End-to-end performance management support — from goal setting and performance reviews to 360-degree feedback, performance improvement plans, recognition programs, and succession planning.

Supported tasks

  • Writing performance reviews and appraisal reports
  • Creating performance improvement plans (PIPs)
  • Designing performance appraisal forms and templates
  • Setting employee goals and OKRs
  • Conducting 360-degree feedback assessments
  • Developing performance metrics and KPIs
  • Running performance calibration sessions
  • Designing employee recognition and awards programs
  • Writing talent review reports
  • Developing succession planning programs

Key prompts

Performance reviews

  1. "Write a performance review for [employee name] in the [job title] role, focusing on their achievements in [specific areas] over [time period]."
  2. "What are the essential elements of an effective performance review template for [department/role]?"
  3. "How should I structure a performance review conversation to be constructive and forward-looking?"
  4. "What phrasing and language should I use in performance reviews to deliver clear, actionable feedback?"
  5. "How can I write a performance review summary that accurately captures [employee name]'s contributions and growth opportunities?"
  6. "What are best practices for conducting performance review calibration sessions across departments?"

Performance improvement plans

  1. "Help me write a performance improvement plan (PIP) for [employee name] in [department/role], who is struggling with [performance issue]. Include measurable goals for [timeframe]."
  2. "What are effective strategies for setting achievable milestones in a PIP for an employee struggling with [specific area]?"
  3. "How should I phrase feedback in a PIP to encourage [employee name] to take ownership of their performance improvement?"
  4. "How should I structure a PIP document to make expectations clear and objective for [employee name]?"
  5. "What are common roadblocks during a PIP, and how can managers help employees overcome them?"
  6. "How should I conduct the initial PIP meeting with [employee name] to maintain a supportive yet firm tone?"

Read the full file on GitHub · 88 lines

Files

What ships with it

27 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 88 lines · 53 tokens per session scan A 33f72743a1c0

Subscribe to this mod's changes

hr-performance-management is a skill published in the GitHub repository tuanductran/hr-skills (57 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 1,193 once invoked, about $0.0003 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 2026-09-03.

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