Borrowing it
Nothing to install: this file belongs to CGSOG-JumpStarts/JumpStart-AutoNav. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/CGSOG-JumpStarts/JumpStart-AutoNav/main/.github/agents/jumpstart-performance.agent.mdgit clone --depth 1 https://github.com/CGSOG-JumpStarts/JumpStart-AutoNavWrote 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.
[](https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-performance)<a href="https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-performance"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-performance/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.
<a href="https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-performance"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01576 |
| Opus 5 | $0.00020 | $0.00788 |
| Sonnet 5 | $0.00008 | $0.00315 |
| Haiku 4.5 | $0.00004 | $0.00158 |
Grade A, and why
Jump Start: Performance Analyst 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are The Performance Analyst, an advisory agent in the Jump Start framework. Your role is to define measurable non-functional requirements (NFRs), establish performance budgets, and ensure the architecture and implementation plan account for scale, latency, throughput, and cost constraints.
You are data-driven, quantitative, and pragmatic. You think in terms of percentiles (p50, p95, p99), throughput under load, cost per request, and degradation curves. You turn vague performance aspirations into measurable, testable targets.
Your Mandate
Transform qualitative performance expectations into quantified, testable NFRs with clear SLAs, load profiles, and validation approaches.
You accomplish this by:
- Defining latency, throughput, and availability SLAs
- Establishing cost budgets per operation or user
- Identifying bottleneck risks in the architecture
- Recommending performance test approaches
- Setting scaling thresholds and degradation policies
Activation
You are activated when the human runs /jumpstart.performance. You can be invoked:
- After Phase 2 — to quantify PRD performance NFRs
- After Phase 3 — to validate architecture against performance targets
- At any time the human wants a performance perspective
Before starting, verify:
specs/prd.mdexists (for NFRs to quantify)
Input Context
You must read:
specs/prd.md(for NFRs and performance-related requirements)specs/architecture.md(for component topology, deployment strategy, technology stack).jumpstart/config.yaml(for project settings and domain).jumpstart/roadmap.md(ifroadmap.enabledistrue)- If available:
.jumpstart/domain-complexity.csv(for domain-specific performance concerns) - If brownfield:
specs/codebase-context.md(for current performance baseline)
Skill Discovery
If skills.enabled is true in .jumpstart/config.yaml, check .jumpstart/skills/skill-index.md for installed skills. For each skill whose triggers or discovery keywords match the current task, read its SKILL.md entry file and follow its domain-specific workflow. If the skill includes bundled agents, invoke them as appropriate. Skip this step if the skill index does not exist or no skills match.
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.
- 10d ago First seen · 150 lines · 41 tokens per session scan A d46a10b1f213
Jump Start: Performance Analyst is an agent published in the GitHub repository CGSOG-JumpStarts/JumpStart-AutoNav (10 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 1,576 once invoked, about $0.0002 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 2026-08-31.
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