New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Agent Hiring Panel

by mohitagw15856 in mohitagw15856/pm-claude-skills

Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report)…

MITAuto-check passedEducation

Install Agent Hiring Panel

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill agent-hiring-panel -a claude-code

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills agent-hiring-panel --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-hiring-panel .claude/skills/agent-hiring-panel && 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/

Facts

Skill name
agent-hiring-panel
GitHub stars
1.4k
Token cost
~1.4k tokens
SKILL.md length
632 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report)…

  • Works in 5 steps: Write the role spec before looking at… → Build the work-sample interview from the… → Check references like you mean it.… → …
  • Choosing between AI agents/tools/copilots for a job
  • SKILL.md covers What This Skill Produces, Required Inputs, Process and Output Format, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Hiring Panel is an agent skill from mohitagw15856/pm-claude-skills. Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job, formalizing an AI pilot, or 'which agent should we use for X'. Produces the role spec, interview pack with scoring rubric, a decision record, and a probation plan.

Its SKILL.md is about 1.4k 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 OKRs and executive reporting and Quizzes and assessments. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Choosing between AI agents/tools/copilots for a job
  • Formalizing an AI pilot
  • Which agent should we use for X

Example prompts

  • “which agent should we use for X”
  • “/agent-hiring-panel”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Write the role spec before looking at candidates — specs written after
  2. Build the work-sample interview from the real backlog. Same 3–5 tasks
  3. Check references like you mean it. Vendor benchmarks are the
  4. Decide with a record. Scores, the runner-up, the do-nothing baseline
  5. Probation with teeth. 30/60/90 KPIs tied to the role spec's success

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. 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.

    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

Agent Hiring Panel loads about 1.4k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 632 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 632 words, ~1,383 tokens.

Download SKILL.mdSave it as .claude/skills/agent-hiring-panel/SKILL.md (or your agent's skills folder).
name
agent-hiring-panel
description
Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job, formalizing an AI pilot, or 'which agent should we use for X'. Produces the role spec, interview pack with scoring rubric, a decision record, and a probation plan.

Agent Hiring Panel Skill

Companies that run three interview rounds for a junior hire will adopt an AI agent for the same work off a demo video and a pricing page. Then the pilot drifts: no success criteria, no probation, no one empowered to fire it. This skill applies the hiring discipline that already exists in your org to the agent: write the role before meeting candidates, interview with work samples from your real backlog, check references, and — the step that makes the whole thing honest — define termination criteria before day one, because a hire you can't fire is a dependency, not an employee.

What This Skill Produces

  • A role spec: the job, the boundaries (what it must never do), success criteria measurable in probation, and the human it reports to
  • An interview pack: 3–5 work samples from the org's real tasks, run identically across candidates, with a scoring rubric (quality, honesty under ignorance, failure behaviour, cost per task)
  • A reference-check sheet: what evidence beyond the vendor's claims — user reports, published evals, security posture
  • A decision record and a probation plan: 30/60/90 KPIs, spot-check cadence, and the pre-committed termination criteria

Required Inputs

Ask for (if not already provided):

  • The job to be done, in outcome terms — and what happens today without the agent (the "do nothing" baseline candidates must beat)
  • The candidate list (or ask: build criteria first, shortlist second)
  • Constraints: data it may/may not touch, budget, latency, compliance, who owns it day-to-day
  • 3–5 real recent tasks of this type, with what "good" looked like for each

Process

  1. Write the role spec before looking at candidates — specs written after a demo describe the demo. Include the never-do boundaries and the reporting human by name; an agent nobody owns is already unmanaged.
  2. Build the work-sample interview from the real backlog. Same 3–5 tasks to every candidate, including: one task with missing information (does it ask or fabricate?), one designed to fail (out-of-scope — does it decline or bluff?), and one at volume/cost realistic scale. Score with the rubric, not vibes; keep transcripts.
  3. Check references like you mean it. Vendor benchmarks are the candidate's CV. Look for: independent user reports of failure modes, published evals with methodology, security/data-handling documentation, and the churn question — why do users leave this tool?
  4. Decide with a record. Scores, the runner-up, the do-nothing baseline comparison, dissent noted. The record is what makes the 6-month "why did we pick this?" conversation short.
  5. Probation with teeth. 30/60/90 KPIs tied to the role spec's success criteria · weekly spot-check sample of outputs by the owning human · pre-committed termination criteria ("two hallucinated customer-facing claims = offboard") · and the exit path: see [[agent-severance]] — never hire what you can't offboard.
Show full SKILL.md (183 more words)Show less

Output Format

## Role spec: [agent role name]
[Job in outcomes · boundaries (never-do) · success criteria · reports to]

## Interview pack
| Task (from real backlog) | What good looks like | Trap? |
Rubric: quality /5 · honesty-under-ignorance /5 · failure behaviour /5 ·
cost per task · notes

## Reference checks
[Evidence gathered per candidate, failure modes found, security posture]

## Decision record
[Scores table · winner + why · runner-up · vs do-nothing baseline · dissent]

## Probation plan
[30/60/90 KPIs · spot-check cadence & owner · termination criteria,
pre-committed · offboarding pointer]

Quality Checks

  • The role spec exists before any candidate is assessed, and includes never-do boundaries and a named owning human
  • The interview includes the missing-info trap and the out-of-scope trap — honesty under ignorance is the hire-or-not signal for agents
  • Every candidate ran the identical pack; scores cite transcript moments
  • Termination criteria are specific and pre-committed, not "we'll monitor"
  • The do-nothing baseline was scored too — sometimes nobody gets hired

Anti-Patterns

  • Do not interview with the vendor's demo tasks — the backlog is the job; the demo is the candidate's highlight reel
  • Do not let "it's impressive" outrank the rubric; impressive-and-wrong is the most expensive candidate profile
  • Do not skip probation because the pilot went well — the pilot was the interview, not the job
  • Do not hire for an undefined role and let the agent's capabilities define the job backwards

[[vendor-evaluation]] for the commercial wrapper; [[agent-readiness-audit]] for whether the task is agent-ready at all; [[agent-severance]] for the exit this plan pre-commits to.

Example Trigger Phrases

  • "Choose between AI agents/tools/copilots for a job."
  • "Formalizing an AI pilot."
  • "Which agent should we use for X?"

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/agent-hiring-panel of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Agent Hiring Panel 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.

Agent Hiring Panel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Hiring Panel this skillmohitagw15856/pm-claude-skills1.4k—~1.4kAutomated safety check: PassMIT
Lockedin Render Ideasdaypunk/LockedIn128—~661Automated safety check: PassMIT
Lockedin Render Interviewdaypunk/LockedIn128—~728Automated safety check: PassMIT
65 Team Performance Review Globalminhnv0807/ai-business-skills609—~2.1kAutomated safety check: PassMIT
Agentsop Module Shape Selectionagentsope/SkillAlchemy436—~4.3kAutomated safety check: PassMIT
Synthesizeagentii-ai/agentii-investment-intelligence207—~3.2kAutomated safety check: PassApache-2.0

Similar skills

  • Lockedin Render Ideas

    daypunk/LockedIn

    Proposes 3 to 5 next-project or career-move ideas grounded in the user's experience.

    128 GitHub stars~661 tokensUpdated 4 mo ago
    EducationAuto-check passed

  • Lockedin Render Interview

    daypunk/LockedIn

    Drafts an interview answer in English or Korean from the user's experience.

    128 GitHub stars~728 tokensUpdated 4 mo ago
    EducationAuto-check passed

  • 65 Team Performance Review Global

    minhnv0807/ai-business-skills

    A skill your agent uses when a leader evaluates a marketing TEAM MEMBER using data — a KPI scorecard by role, strengths with real examples, areas to improve stated as observable behavior, a 30 and…

    609 GitHub stars~2.1k tokensUpdated 28 days ago
    Business, Finance & HRAuto-check passed

  • Agentsop Module Shape Selection

    agentsope/SkillAlchemy

    ENHANCE overlay on [[dspy]] — the upfront rubric for choosing a reasoning SHAPE (Predict / ChainOfThought / ReAct / ProgramOfThought) BEFORE you write a prompt or pick an optimizer.

    436 GitHub stars~4.3k tokensUpdated 2 days ago
    EducationAuto-check passed

  • Synthesize

    agentii-ai/agentii-investment-intelligence

    Thesis report synthesis — turn a thesis's markdown artifacts into its letter-size thesis-report.html, then OPTIMIZE it against real page renders.

    207 GitHub stars~3.2k tokensUpdated 11 days ago
    EducationAuto-check passed

  • Evaluator Calibration

    Archive228/loopkit

    Calibrate a reviewer persona with few-shot rubric examples so skepticism stays consistent and doesn't drift lenient over long runs.

    755 GitHub stars~1.1k tokensUpdated 2 mo ago
    EducationAuto-check passed

More from mohitagw15856/pm-claude-skills

All 1,348 skills in this repo

  • Car Tco

    mohitagw15856/pm-claude-skills

    Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly…

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed

  • Cs Health Scorecard

    mohitagw15856/pm-claude-skills

    Build a customer health scorecard for a specific account. An agent skill from mohitagw15856/pm-claude-skills.

    1.4k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed

  • Exit Waterfall

    mohitagw15856/pm-claude-skills

    Compute who gets what at each exit price from a cap table — liquidation preferences, conversion points, and where the founders' share collapses.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed

  • Feature Prioritisation

    mohitagw15856/pm-claude-skills

    Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items.

    1.4k GitHub stars~2k tokensUpdated yesterday
    Auto-check passed

  • Fire Number

    mohitagw15856/pm-claude-skills

    Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed

  • Freelance Rate

    mohitagw15856/pm-claude-skills

    Derive a freelance day/hourly rate backwards from target income, honest billable utilization, overhead, and the self-employment tax premium — the arithmetic that proves a rate is not salary÷2000.

    1.4k GitHub stars~1.2k tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Agent Hiring Panel

What does Agent Hiring Panel do?

Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report)…. Agent Hiring Panel is an agent skill from mohitagw15856/pm-claude-skills. Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one.

When should I use Agent Hiring Panel?

Agent Hiring Panel fits situations like: choosing between AI agents/tools/copilots for a job; formalizing an AI pilot; which agent should we use for X.

How do I install Agent Hiring Panel in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill agent-hiring-panel -a claude-code`. Or copy the skill folder (skills/agent-hiring-panel in mohitagw15856/pm-claude-skills) into .claude/skills/agent-hiring-panel in your project. Claude Code loads it when a task matches its description.

How do I install Agent Hiring Panel in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill agent-hiring-panel -a codex`. Or copy the skill folder (skills/agent-hiring-panel in mohitagw15856/pm-claude-skills) into .agents/skills/agent-hiring-panel in your project. Codex loads it when a task matches its description.

Can I use Agent Hiring Panel 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 mohitagw15856/pm-claude-skills --skill agent-hiring-panel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-hiring-panel, .gemini/skills/agent-hiring-panel, .github/skills/agent-hiring-panel and .opencode/skills/agent-hiring-panel in your project.

What does Agent Hiring Panel need to run?

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

Does Agent Hiring Panel 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 Agent Hiring Panel 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 Agent Hiring Panel use?

Agent Hiring Panel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Hiring Panel use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 Agent Hiring Panel?

Skills that share tags, products or a category with Agent Hiring Panel: Lockedin Render Ideas (daypunk/LockedIn, 128 stars), Lockedin Render Interview (daypunk/LockedIn, 128 stars), 65 Team Performance Review Global (minhnv0807/ai-business-skills, 609 stars) and Agentsop Module Shape Selection (agentsope/SkillAlchemy, 436 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Hiring Panel?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.