agent-hiring-panel
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.
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills /tmp/agent-hiring-panel && cp -r /tmp/agent-hiring-panel/exports/openclaw/agent-hiring-panel ~/.claude/skills/agent-hiring-panelSKILL.md
# 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.
## 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
## Related
[[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.Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.
Decode a 401k or workplace retirement plan — the real cost of its funds, the match's fine print, vesting math, and the plan features worth using or avoiding. Use when someone asks 'is my 401k any good', 'decode my 401k plan', 'which funds should I look at', or 'what fees am I paying'. Produces a fee decode in dollars-over-time, match and vesting math, a fund-lineup triage by cost, and the questions for HR or the plan administrator.
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
Generate a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibility, check WCAG compliance, review a design for a11y issues, or create an accessibility remediation plan. Produces a prioritised checklist with pass/fail assessments and specific fixes.
Plan a trip that actually works with a disability or access need — confirm real accessibility (not just 'accessible' labels), book the assistance in advance, plan for equipment and medication, and build in the contingencies for when access breaks down. Use when someone says 'plan an accessible trip', 'travelling with a wheelchair/disability', 'book assistance for my flight', or 'will this hotel actually work for me'. Produces an access-verified itinerary, an assistance-booking checklist, an equipment/medication plan, and contingency scripts. Verify specifics with providers.
Request a reasonable accommodation at work or in education — frame it around the barrier and the adjustment (not your diagnosis), cite the right process, and navigate the back-and-forth constructively. Use when someone says 'I need a workplace accommodation', 'request reasonable adjustments', 'ADA/Equality Act accommodation', or 'how do I ask for accommodations for my disability/condition'. Produces the request letter, a barriers-and-adjustments map, disclosure guidance, and a plan for the interactive process. Not legal advice — routes to the formal process and to advocacy where needed.
Build a structured account plan for any key customer or target account. Use when asked to create an account plan, key account strategy, strategic account review, or territory plan. Produces a complete account plan with relationship map, growth opportunities, risks, and 90-day action plan.