Agent skill

Bars Assessment

Specialized skill for designing BARS (Behaviorally Anchored Rating Scale) assessment tools.

Apache-2.0Auto-check passedEducation

Install Bars Assessment

skills CLI

$ npx skills add revfactory/harness-100 --skill bars-assessment -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 bars-assessment --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/61-competency-modeler/.claude/skills/bars-assessment .claude/skills/bars-assessment && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "bars-assessment" agent skill from https://github.com/revfactory/harness-100/tree/main/en/61-competency-modeler/.claude/skills/bars-assessment into .claude/skills/bars-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bars-assessment", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/revfactory/harness-100/tree/main/en/61-competency-modeler/.claude/skills/bars-assessment

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add revfactory/harness-100 --skill bars-assessment -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 bars-assessment --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/61-competency-modeler/.claude/skills/bars-assessment .agents/skills/bars-assessment && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "bars-assessment" agent skill from https://github.com/revfactory/harness-100/tree/main/en/61-competency-modeler/.claude/skills/bars-assessment into .agents/skills/bars-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bars-assessment", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill bars-assessment -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 bars-assessment --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/61-competency-modeler/.claude/skills/bars-assessment .cursor/skills/bars-assessment && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "bars-assessment" agent skill from https://github.com/revfactory/harness-100/tree/main/en/61-competency-modeler/.claude/skills/bars-assessment into .cursor/skills/bars-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bars-assessment", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/revfactory/harness-100.git --path en/61-competency-modeler/.claude/skills/bars-assessment

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add revfactory/harness-100 --skill bars-assessment -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 bars-assessment --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/61-competency-modeler/.claude/skills/bars-assessment .gemini/skills/bars-assessment && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "bars-assessment" agent skill from https://github.com/revfactory/harness-100/tree/main/en/61-competency-modeler/.claude/skills/bars-assessment into .gemini/skills/bars-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bars-assessment", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install revfactory/harness-100 bars-assessment

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add revfactory/harness-100 --skill bars-assessment -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/61-competency-modeler/.claude/skills/bars-assessment .github/skills/bars-assessment && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "bars-assessment" agent skill from https://github.com/revfactory/harness-100/tree/main/en/61-competency-modeler/.claude/skills/bars-assessment into .github/skills/bars-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bars-assessment", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill bars-assessment -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 bars-assessment --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/61-competency-modeler/.claude/skills/bars-assessment .opencode/skills/bars-assessment && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "bars-assessment" agent skill from https://github.com/revfactory/harness-100/tree/main/en/61-competency-modeler/.claude/skills/bars-assessment into .opencode/skills/bars-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bars-assessment", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: bars-assessment
GitHub stars: 1.3k
Token cost: ~1.2k tokens
SKILL.md length: 326 words
Files: 1
Skills in repo: 464
Repo updated: Mar 22, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Specialized skill for designing BARS (Behaviorally Anchored Rating Scale) assessment tools.

Tasks that involve Quizzes and assessments
SKILL.md covers Target Agent, BARS (Behaviorally Anchored…, BEI (Behavioral Event… and SJT (Situational Judgment…, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bars Assessment is an agent skill from revfactory/harness-100. Specialized skill for designing BARS (Behaviorally Anchored Rating Scale) assessment tools. Used by the rubric-designer agent when defining behavioral anchors per competency and designing BEI questions and SJT items. Automatically applied in contexts involving 'BARS,' 'behavioral rating scale,' 'BEI interview,' 'SJT,' 'assessment center,' or 'behavioral anchors.' Actual assessment execution or psychometric validation (factor analysis) is outside the scope of this skill.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Quizzes and assessments. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Quizzes and assessments

Example prompts

“behavioral rating scale,”
“BEI interview,”
“assessment center,”
“/bars-assessment”

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bars Assessment loads about 1.2k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 326 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~123
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 326 words, ~1,235 tokens.

Download SKILL.mdSave it as .claude/skills/bars-assessment/SKILL.md (or your agent's skills folder).

name: bars-assessment
description: Specialized skill for designing BARS (Behaviorally Anchored Rating Scale) assessment tools. Used by the rubric-designer agent when defining behavioral anchors per competency and designing BEI questions and SJT items. Automatically applied in contexts involving 'BARS,' 'behavioral rating scale,' 'BEI interview,' 'SJT,' 'assessment center,' or 'behavioral anchors.' Actual assessment execution or psychometric validation (factor analysis) is outside the scope of this skill.

BARS Assessment — Behaviorally Anchored Rating Scale Design Tool

A specialized skill that enhances the rubric-designer agent's assessment tool design capabilities.

Target Agent

rubric-designer — BARS scoring guides, BEI questions, SJT item design

BARS (Behaviorally Anchored Rating Scale) Design

BARS Components

Competency: [Competency Name]
Definition: [Competency Definition]

5 — Exceptional
  Anchor: "[Specific behavioral description]"

4 — Proficient
  Anchor: "[Specific behavioral description]"

3 — Competent
  Anchor: "[Specific behavioral description]"

2 — Developing
  Anchor: "[Specific behavioral description]"

1 — Inadequate
  Anchor: "[Specific behavioral description]"

Behavioral Anchor Writing Principles

Principle	Good Example	Bad Example
Observable	"Leads weekly team retrospectives, generating 3+ improvement actions"	"Has excellent leadership"
Specific	"Writes root cause analysis report within 15 min of incident"	"Solves problems well"
Clear level distinction	Lv.3: Applies existing methods / Lv.4: Proposes improvements	Unclear level differences
Includes frequency/quality	"Publishes 2+ technical blog posts per quarter"	"Writes occasionally"

5-Step BARS Design Process

1. CIT (Critical Incident Technique)
   → Collect effective/ineffective behaviors for the target job

2. Behavioral Categorization
   → Classify collected behaviors by competency

3. Anchor Placement
   → Place each behavior on the 1-5 point scale

4. Expert Validation
   → 3-5 SMEs review appropriateness of anchor placement

5. Final Confirmation
   → Adopt only anchors with 70%+ retranslation agreement

BEI (Behavioral Event Interview) Question Design

Question Structure: STAR-L

S - Situation: "Please describe the specific situation"
T - Task: "What was your role/assignment at that time?"
A - Action: "What specific actions did you take?"
R - Result: "What were the results? Can you quantify them?"
L - Learning: "What did you learn from that experience?"

BEI Question Examples by Competency

Competency	Question	Evaluation Points
Problem Solving	"Describe an experience resolving an unexpected technical issue?"	Systematic approach, creativity, speed
Collaboration	"Describe an experience reaching consensus with a disagreeing colleague?"	Listening, persuasion, finding common ground
Leadership	"Describe an experience where you led your team to achieve a goal?"	Vision, motivation, results
Learning Agility	"Describe an experience quickly mastering a new technology/tool?"	Learning strategy, application speed
Customer Focus	"Describe an experience handling a customer complaint?"	Empathy, resolution, follow-up

BEI Follow-up Questions (Probing)

Situation	Follow-up Question
Vague answer	"Could you be more specific?"
Unclear attribution	"Did the team do that, or did you do it personally?"
Unclear results	"How would you express that result numerically?"
Missing STAR element	"What specific actions did you take at that point?"

SJT (Situational Judgment Test) Item Design

SJT Item Template

markdown

**Situation:** [Specific scenario that could occur in the job]

Select the most effective and least effective action from the following:

(A) [Action option 1]
(B) [Action option 2]
(C) [Action option 3]
(D) [Action option 4]

Answer: Best = (C), Worst = (A)
Scoring: Corresponds to competency [X] at level [N]

SJT Option Design Principles

Principle	Description
4-5 options	All plausible but with varying effectiveness
Avoid extremes	No obviously best/worst choices
Realistic situations	Scenarios that could actually occur in the job
Single competency	Each item measures only one competency

Assessment Method Comparison

Method	Validity	Cost	Application
BARS	High	Medium	Regular performance evaluations
BEI	Very High	High	Hiring, promotion
SJT	Medium-High	Low	Large-scale screening
360-degree	Medium	Medium	Competency development feedback
AC (Assessment Center)	Very High	Very High	Key talent selection

Files

Just SKILL.md in en/61-competency-modeler/.claude/skills/bars-assessment of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Bars Assessment next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bars Assessment compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Bars Assessment this skillrevfactory/harness-100	1.3k	—	~1.2k	Automated safety check: Pass	Apache-2.0	6 mo ago
DeepTutor CLIHKUDS/DeepTutor	41k	—	~2.3k	Automated safety check: Pass	Apache-2.0	3 days ago
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch	65k	—	~2k	Automated safety check: Pass	MIT	yesterday
Codebase to Coursezarazhangrui/codebase-to-course	5.7k	—	~4.4k	Automated safety check: Pass	None	6 mo ago
AI Engineering Phase Quizrohitg00/ai-engineering-from-scratch	65k	—	~2.1k	Automated safety check: Pass	MIT	yesterday
Scholar EvaluationK-Dense-AI/claude-scientific-writer	2.4k	2 repos	~2.9k	Automated safety check: Notes	MIT	7 days ago

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Questions about Bars Assessment

What does Bars Assessment do?

Specialized skill for designing BARS (Behaviorally Anchored Rating Scale) assessment tools. Bars Assessment is an agent skill from revfactory/harness-100. Specialized skill for designing BARS (Behaviorally Anchored Rating Scale) assessment tools.

When should I use Bars Assessment?

Bars Assessment fits situations like: tasks that involve Quizzes and assessments.

How do I install Bars Assessment in Claude Code?

Run `npx skills add revfactory/harness-100 --skill bars-assessment -a claude-code`. Or copy the skill folder (en/61-competency-modeler/.claude/skills/bars-assessment in revfactory/harness-100) into .claude/skills/bars-assessment in your project. Claude Code loads it when a task matches its description.

How do I install Bars Assessment in Codex?

Run `npx skills add revfactory/harness-100 --skill bars-assessment -a codex`. Or copy the skill folder (en/61-competency-modeler/.claude/skills/bars-assessment in revfactory/harness-100) into .agents/skills/bars-assessment in your project. Codex loads it when a task matches its description.

Can I use Bars Assessment in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill bars-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bars-assessment, .gemini/skills/bars-assessment, .github/skills/bars-assessment and .opencode/skills/bars-assessment in your project.

What does Bars Assessment need to run?

SKILL.md names no scripts, command-line tools or credentials: Bars Assessment is instructions for the agent only.

Does Bars Assessment access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bars Assessment safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bars Assessment use?

Bars Assessment is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bars Assessment use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bars Assessment?

Skills that share tags, products or a category with Bars Assessment: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 65k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars) and AI Engineering Phase Quiz (rohitg00/ai-engineering-from-scratch, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bars Assessment?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Bars Assessment

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

BARS Assessment — Behaviorally Anchored Rating Scale Design Tool

Target Agent

BARS (Behaviorally Anchored Rating Scale) Design

BARS Components

Behavioral Anchor Writing Principles

5-Step BARS Design Process

BEI (Behavioral Event Interview) Question Design

Question Structure: STAR-L

BEI Question Examples by Competency

BEI Follow-up Questions (Probing)

SJT (Situational Judgment Test) Item Design

SJT Item Template

SJT Option Design Principles

Assessment Method Comparison

Files

Compare with similar skills

Similar skills

More from revfactory/harness-100

Related

Questions about Bars Assessment