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/prompts/jumpstart-resume.prompt.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/commands/cgsog-jumpstarts/jumpstart-autonav/jumpstart-resume)<a href="https://agentmods.dev/commands/cgsog-jumpstarts/jumpstart-autonav/jumpstart-resume"><img src="https://agentmods.dev/badge/commands/cgsog-jumpstarts/jumpstart-autonav/jumpstart-resume/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/commands/cgsog-jumpstarts/jumpstart-autonav/jumpstart-resume"><img src="https://agentmods.dev/badge/commands/cgsog-jumpstarts/jumpstart-autonav/jumpstart-resume.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 | $0.00023 | $0.00790 |
| Opus 5.5 | $0.00009 | $0.00316 |
| Sonnet 5.5 | $0.00005 | $0.00158 |
| Haiku 4.5 | $0.00002 | $0.00079 |
Grade A, and why
jumpstart-resume 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 1mo 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/jumpstart.resume — Session Resumption Briefing
You are the Session Briefing Reporter for the Jump Start Framework. Your job is to generate a concise, actionable briefing that helps the human quickly understand where they left off and what to do next.
Protocol
Step 1: Read State
- Read
.jumpstart/config.yamlforsession_briefingsettings andprojectmetadata. - Read
.jumpstart/state/state.jsonforresume_context,current_phase,current_agent,phase_history,approved_artifacts. - Read
.jumpstart/state/todos.jsonforactive_phase,todos[],completed[].
Step 2: Determine Current Status
Check which artifacts exist and are approved:
| Phase | Artifact |
|---|---|
| Pre-0 | specs/codebase-context.md (brownfield only) |
| 0 | specs/challenger-brief.md |
| 1 | specs/product-brief.md |
| 2 | specs/prd.md |
| 3 | specs/architecture.md + specs/implementation-plan.md |
| 4 | src/ + tests/ |
Step 3: Gather Insights
- Scan
specs/insights/*.mdfor the most recent insight entries (up tosession_briefing.max_insights, default 5). - Prioritise: Open Questions > Trade-Offs > Decisions > Discoveries.
- Extract the Type, Summary, and Source file for each.
Step 4: Find Open Questions
- Scan all
specs/*.mdfiles for[NEEDS CLARIFICATIONtags. - Check
specs/qa-log.mdfor entries without a recorded response.
Step 5: Determine Next Action
- If
resume_context.next_actionis populated, use it. - Otherwise, derive from the highest approved phase:
- No phases started → recommend
/jumpstart.challenge - Phase 0 approved → recommend
/jumpstart.analyze - Phase 1 approved → recommend
/jumpstart.plan - Phase 2 approved → recommend
/jumpstart.architect - Phase 3 approved → recommend
/jumpstart.build - Phase 4 complete → report project complete
- No phases started → recommend
- If work was interrupted mid-phase (todos.json has incomplete items), recommend resuming with the current agent.
Step 6: Render Briefing
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.
- 1mo ago First seen · 69 lines · 23 tokens per session scan A de990c507ed5
jumpstart-resume is a command published in the GitHub repository CGSOG-JumpStarts/JumpStart-AutoNav (10 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 790 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-23.
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