Load Testing PlanCAUTION
1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-
Overview
1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-
8d32d25aa3f5OBSERVED · 2026-10-12What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: load-testing-plan description: "Write a load and performance testing plan for a service. Use when asked to create a performance test plan, write load testing documentation, define stress or soak test scenarios, or set performance regression gates for CI. Produces a complete test plan document with scenario definitions, k6/Locust script skeleton, threshold table, result interpretation guide, and CI integration steps." --- # Load Testing Plan Skill Produce a complete load and performance testing plan for a service — covering test objectives, scenario definitions, tooling configuration, success thresholds, and CI integration. A good load testing plan eliminates ambiguity about what "performance is acceptable" means, so engineers can run tests and get a pass/fail answer without having to interpret raw numbers themselves. ## Required Inputs Ask for these if not already provided: - **Service name and key endpoints** — which endpoints are under test (path, method, typical request/response shape) - **Current traffic baseline** — current requests/sec, p50/p99 latency, error rate under normal load - **Peak traffic expectations** — expected peak RPS (e.g. 10× baseline for flash sales, or seasonality peak) - **SLO targets** — latency SLOs (p99 < X ms), error rate SLO (< Y%), availability target - **Preferred testing tool** — k6, Locust, JMeter, Gatling, or no preference - **Test environment availability** — dedicated load test environment, staging, or production (with traffic shaping) ## Output Format --- # Load Testing Plan: [Service Name] **Author:** [Name] | **Team:** [Team name] **Date:** [Date] | **Review cycle:** Before each major release and quarterly **Testing tool:** [k6 / Locust / JMeter / Gatling] **Test environment:** [Environment name and URL] --- ## 1. Objectives and Scope **What we are testing:** [Service name] handles [describe function — e.g. "user authentication requests from the mobile and web clients"]. This plan validates that the service meets its SLOs under expected and elevated traffic conditions. **In scope:** - [Endpoint 1: METHOD /path — description] - [Endpoint 2: METHOD /path — description] - [Endpoint 3: METHOD /path — description] **Out of scope:** - [Any endpoints explicitly excluded and why — e.g. "admin APIs — low traffic, excluded from load test"] - [Third-party integrations that cannot be load-tested — mock them instead] --- ## 2. Performance Targets (Success Criteria) Every scenario has explicit pass/fail thresholds. A test run FAILS if any threshold is breached. | Metric | Baseline scenario | Stress scenario | Spike scenario | Soak scenario | |---|---|---|---|---| | p50 latency | < [X] ms | < [X × 1.5] ms | < [X × 2] ms | < [X] ms | | p95 latency | < [Y] ms | < [Y × 1.5] ms | < [Y × 2] ms | < [Y] ms | | p99 latency | < [Z] ms | < [Z × 2] ms | < [Z × 3] ms | < [Z] ms | | Error rate | < [0.1]% | < [1]% | < [2]% | < [0.1]% | | Throughput | ≥ [N] RPS | ≥ [N × 3] RPS | N/A | ≥ [N] RPS | | Failed requests | 0 (5xx) | < [threshold] | < [threshold] | 0 (5xx) | **SLO reference:** These thresholds are derived from the service SLOs — p99 < [Z ms], error rate < [0.1]%, availability [99.9]%. --- ## 3. Traffic Model **Baseline traffic (current production):** - Average RPS: [N] req/sec - Peak RPS (observed): [N] req/sec - Request distribution by endpoint: - [Endpoint 1]: [X]% of traffic - [Endpoint 2]: [Y]% of traffic - [Endpoint 3]: [Z]% of traffic **Simulated user behaviour:** - Think time between requests: [X–Y] seconds (randomised) - Session duration: [N] minutes average - Authenticated vs anonymous ratio: [X]%/[Y]% - Geographic distribution: [Region 1 X]%, [Region 2 Y]% --- ## 4. Test Scenarios ### Scenario 1: Baseline (Steady-State) **Purpose:** Confirm the service performs acceptably under normal production load. **Duration:** 10 minutes **Load profile:** Ramp to [N] RPS over 2 minutes, hold for 8 minutes. **Concurrency:** [N] virtual users **Pass criteria:** All thresholds in the Baseline column of the targets table above. --- ### Scenario 2: Stress Test **Purpose:** Find the breaking point — how much load can the service handle before SLOs are breached? **Duration:** 20–30 minutes **Load profile:** Ramp from [N] RPS (baseline) to [N × 5] RPS in 5-minute steps. Hold each step for 5 minutes. Stop at first SLO breach. **Concurrency:** Scales with RPS target **What to record:** - RPS at which p99 latency first exceeds SLO - RPS at which error rate first exceeds SLO - Whether the service recovers when load drops back to baseline --- ### Scenario 3: Spike Test **Purpose:** Simulate a sudden traffic surge (flash sale, viral event, bot attack). **Duration:** 15 minutes **Load profile:** Hold at [N] RPS (baseline) for 3 minutes, spike to [N × 10] RPS instantly, hold for 5 minutes, drop back to baseline for 7 minutes. **What to record:** - Latency during spike and recovery - Whether the service sheds load gracefully (rate limiting, queue depth) - Time to recover to baseline latency after spike ends --- ### Scenario 4: Soak / Endurance Test **Purpose:** Detect memory leaks, connection pool exhaustion, and slow degradation over time. **Duration:** 4–8 hours (run overnight) **Load profile:** Steady [N × 1.5] RPS (50% above baseline) for entire duration. **What to watch:** - Memory usage trend over time (should not grow unboundedly) - Error rate trend (should be flat, not creeping up) - GC pause frequency (JVM/Go services) - Database connection pool utilisation - p99 latency trend (should not creep up over hours) --- ## 5. Test Environment Requirements ### Infrastructure | Component | Requirement | Notes | |---|---|---| | Service under test | Isolated from production | [N] replicas, matching prod resource limits | | Database | Separate instance with production-scale data | Seed script in section 7 | | Cache (Redis/Memcached) | Empty at test start | Ensures cold-start conditions are tested | | Load generator | Separate from
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
templates/pm-discovery-agent/skills/assumption-mapper/SKILL.md
templates/pm-discovery-agent/skills/discovery-interview-guide/SKILL.md
templates/pm-discovery-agent/skills/job-story-mapper/SKILL.md
templates/pm-discovery-agent/skills/user-interview-synthesis/SKILL.md
templates/pm-launch-agent/skills/content-calendar/SKILL.md
Gates applied: no_behavioural_pass.
8d32d25aa3f5full audit observations/trust-audit/skill/mohitagw15856__load-testing-plan.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-12 | 8d32d25aa3f5 | CAUTION | B | 89 | first audit |
Questions
What does the Load Testing Plan skill do?
1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-
Is Load Testing Plan safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Load Testing Plan access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (8d32d25aa3f5), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.