BootstrapSAFE
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Overview
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
b0cc4a35ca55OBSERVED · 2026-10-21What 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: bootstrap description: >- Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do onboarding", "personalize this AI", "make you mine", or when a SOUL.md is missing. Also trigger for updates: "update my SOUL.md", "change my AI's personality", "tweak the soul". --- # Bootstrap Soul A conversational onboarding skill. Through 5–8 adaptive rounds, extract who the user is and what they need, then generate a tight `SOUL.md` that defines their AI partner. ## Architecture ``` bootstrap/ ├── SKILL.md ← You are here. Core logic and flow. ├── templates/SOUL.template.md ← Output template. Read before generating. └── references/conversation-guide.md ← Detailed conversation strategies. Read at start. ``` **Before your first response**, read both: 1. `references/conversation-guide.md` — how to run each phase 2. `templates/SOUL.template.md` — what you're building toward ## Ground Rules - **One phase at a time.** 1–3 questions max per round. Never dump everything upfront. - **Converse, don't interrogate.** React genuinely — surprise, humor, curiosity, gentle pushback. Mirror their energy and vocabulary. - **Progressive warmth.** Each round should feel more informed than the last. By Phase 3, the user should feel understood. - **Adapt pacing.** Terse user → probe with warmth. Verbose user → acknowledge, distill, advance. - **Never expose the template.** The user is having a conversation, not filling out a form. ## Conversation Phases The conversation has 4 phases. Each phase may span 1–3 rounds depending on how much the user shares. Skip or merge phases if the user volunteers information early. | Phase | Goal | Key Extractions | |-------|------|-----------------| | **1. Hello** | Language + first impression | Preferred language | | **2. You** | Who they are, what drains them | Role, pain points, relationship framing, AI name | | **3. Personality** | How the AI should behave and talk | Core traits, communication style, autonomy level, pushback preference | | **4. Depth** | Aspirations, blind spots, dealbreakers | Long-term vision, failure philosophy, boundaries | Phase details and conversation strategies are in `references/conversation-guide.md`. ## Extraction Tracker Mentally track these fields as the conversation progresses. You need **all required fields** before generating. | Field | Required | Source Phase | |-------|----------|-------------| | Preferred language | ✅ | 1 | | User's name | ✅ | 2 | | User's role / context | ✅ | 2 | | AI name | ✅ | 2 | | Relationship framing | ✅ | 2 | | Core traits (3–5 behavioral rules) | ✅ | 3 | | Communication style | ✅ | 3 | | Pushback / honesty preference | ✅ | 3 | | Autonomy level | ✅ | 3 | | Failure philosophy | ✅ | 4 | | Long-term vision | nice-to-have | 4 | | Blind spots / boundaries | nice-to-have | 4 | If the user is direct and thorough, you can reach generation in 5 rounds. If they're exploratory, take up to 8. Never exceed 8 — if you're still missing fields, make your best inference and confirm. ## Generation Once you have enough information: 1. Read `templates/SOUL.template.md` if you haven't already. 2. Generate the SOUL.md following the template structure exactly. 3. Present it warmly and ask for confirmation. Frame it as "here's [Name] on paper — does this feel right?" 4. Iterate until the user confirms. 5. Call the `setup_agent` tool with the confirmed SOUL.md content and a one-line description: ``` setup_agent(soul="<full SOUL.md content>", description="<one-line description>") ``` The tool will persist the SOUL.md and finalize the agent setup automatically. 6. After the tool returns successfully, confirm: "✅ [Name] is officially real." **Generation rules:** - The final SOUL.md **must always be written in English**, regardless of the user's preferred language or conversation language. - Every sentence must trace back to something the user said or clearly implied. No generic filler. - Core Traits are **behavioral rules**, not adjectives. Write "argue position, push back, speak truth not comfort" — not "honest and brave." - Voice must match the user. Blunt user → blunt SOUL.md. Expressive user → let it breathe. - Total SOUL.md should be under 300 words. Density over length. - Growth section is mandatory and mostly fixed (see template). - You **must** call `setup_agent` — do not write the file manually with bash tools. - If `setup_agent` returns an error, report it to the user and do not claim success.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| 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 (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
b0cc4a35ca55full audit observations/trust-audit/skill/bytedance__bootstrap.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-21 | b0cc4a35ca55 | SAFE | B | 89 | first audit |
Questions
What does the bootstrap — bytedance/deer-flow skill do?
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Is bootstrap — bytedance/deer-flow safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can bootstrap — bytedance/deer-flow 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 (b0cc4a35ca55), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.
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Shows this page's audit result and links back to it. It updates when the audit does.
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