Event ProspectingSAFE
Browserbase's official collection of agent skills to access the web.
Overview
Browserbase's official collection of agent skills to access the web.
45d21dc75974OBSERVED · 2026-10-28What 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: event-prospecting
description: |
Event prospecting skill. Takes a conference / event speakers URL,
extracts the people, filters their companies against the user's
ICP, then deep-researches only the speakers at ICP-fit companies.
Outputs a person-first HTML report where each card answers "why
should the AE talk to this person?" with all public links and a
one-click DM opener.
Use when the user wants to: (1) find leads at a specific
conference, (2) prep for an event, (3) research event speakers,
(4) build a target list from a sponsor/exhibitor page,
(5) scrape conference speakers and rank by ICP fit.
Triggers: "find leads at {event}", "research speakers at",
"prospect this conference", "stripe sessions leads",
"ai engineer summit prospects", "event prospecting",
"scrape conference speakers", "who should I meet at".
license: MIT
compatibility: Requires browse CLI (`npm install -g browse`) and BROWSERBASE_API_KEY env var. The same `browse` binary covers both API commands and JS-rendered page fallback.
allowed-tools: Bash Agent AskUserQuestion
metadata:
author: browserbase
version: "0.1.0"
---
# Event Prospecting
Take a conference URL → get a ranked list of people the AE should talk to, with a "why reach out" rationale per person.
**Required**: `BROWSERBASE_API_KEY` env var and the `browse` CLI installed (`npm install -g browse`). Use `browse cloud ...` for API calls and `browse open` / `browse get markdown` for JS-heavy speaker pages.
**Path rules**: Always use the full literal path in all Bash commands — NOT `~` or `$HOME` (both trigger "shell expansion syntax" approval prompts). Resolve the home directory once and use it everywhere. When constructing subagent prompts, replace `{SKILL_DIR}` with the full literal path (typically `/Users/jay/skills/skills/event-prospecting`).
**Output directory**: All event prospecting output goes to `~/Desktop/{event_slug}_prospects_{YYYY-MM-DD-HHMM}/`. Final deliverable is `index.html` (people grouped by company, ranked by company ICP), with `companies.html` and `people.html` (filterable) as alternate views, plus `results.csv` for cold-outbound import.
**CRITICAL — Tool restrictions (applies to main agent AND all subagents)**:
- All web searches: use `browse cloud search`. NEVER use WebSearch.
- All page content extraction: use `node {SKILL_DIR}/scripts/extract_page.mjs "<url>"`. This script fetches via `browse cloud fetch --output`, parses title + meta tags + visible body text, and automatically falls back to `browse get markdown` when fetch fails or returns thin JS-rendered content. NEVER hand-roll a `browse cloud fetch | sed` pipeline. NEVER use WebFetch.
- All research output: subagents write **one markdown file per company OR per person** to `{OUTPUT_DIR}/companies/{slug}.md` or `{OUTPUT_DIR}/people/{slug}.md` using bash heredoc. NEVER use the Write tool or `python3 -c`. See `references/example-research.md` for both file formats.
- Report compilation: use `node {SKILL_DIR}/scripts/compile_report.mjs {OUTPUT_DIR} --open`.
- **Subagents must use ONLY the Bash tool. No other tools allowed.**
- **HARD TOOL-CALL CAPS**: ICP triage = 1 call/company; deep research = 5 calls/company; person enrichment = 4 calls/person. See `references/workflow.md` for enforcement detail.
**CRITICAL — Anti-hallucination rules (applies to main agent AND all subagents)**:
- NEVER infer `product_description`, `industry`, or a person's `role_reason` from a site's fonts, framework, design system, or typography. These are cosmetic and say nothing about what the company sells or what the person does.
- NEVER let the user's own ICP leak into a target's description. If you don't know what the target does, write `Unknown` — do not pattern-match them onto the ICP.
- `product_description` MUST quote or paraphrase a specific phrase from `extract_page.mjs` output. If none of TITLE/META/OG/HEADINGS/BODY yield a recognizable product statement, write `Unknown — homepage content not accessible` and cap `icp_fit_score` at 3.
- A person's `hook` MUST quote or paraphrase a specific finding from a `browse cloud search` result (podcast title, blog headline, GitHub repo, talk abstract). If no public signal exists in the last 6 months, fall back to event-context (their talk title at this event).
**CRITICAL — Minimize permission prompts**:
- Subagents MUST batch ALL file writes into a SINGLE Bash call using chained heredocs. One Bash call = one permission prompt.
- Batch ALL searches and ALL fetches into single Bash calls using `&&` chaining.
## Pipeline Overview
Follow these 10 steps in order. Do not skip steps or reorder.
0. **Setup** — output dir + clean slate
1. **Load profile** — read `profiles/{user_slug}.json`
2. **Recon** — detect event platform
3. **Extract people** — `people.jsonl`
4. **Group by company** — `seed_companies.txt`
5. **ICP triage** — fast company-level scoring (1 call/company)
6. **Filter** — companies with `icp_fit_score >= --icp-threshold`
7. **Deep research** — full Plan→Research→Synthesize on ICP fits
8. **Enrich speakers** — ask user: ICP-fit only (default) or all speakers
9. **Compile report** — HTML + CSV, open in browser
The user invokes the skill with a URL like `/event-prospecting <URL>`. Parse `EVENT_URL` from that invocation message. Defaults: `DEPTH=deep`, `ICP_THRESHOLD=6`. The `USER_SLUG` (ICP profile) is auto-resolved in Step 1 from whatever profile files exist locally — there is no built-in default profile. Do NOT ask the user to confirm the URL — they already gave you it.
---
## Step 0: Setup Output Directory
Derive the output directory from the URL the user gave you. Do NOT hardcode any event name.
```bash
# EVENT_URL came from the invocation message (whatever the user typed after `/event-prospecting`)
EVENT_SLUG=$(node -e 'const h = new URL(process.argv[1]).hostname.replace(/^www\./,""); console.log(h.split(".")[0])' "$EVENT_URL")
TIMESTAMP=$(date +%Y-%m-%d-%H%M)
OUTPUT_DIR=/Users/jay/Desktop/${EVENT_SLTrust 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 | PASS |
| 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
- declared (1 observation(s))
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
45d21dc75974full audit observations/trust-audit/skill/browserbase__event-prospecting.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-28 | 45d21dc75974 | SAFE | B | 89 | first audit |
Questions
What does the event-prospecting — browserbase/skills skill do?
Browserbase's official collection of agent skills to access the web.
Is event-prospecting — browserbase/skills 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 event-prospecting — browserbase/skills access on my machine?
The audit observed that it runs shell commands. Each of those is consistent with what it says it does. Secrets in the source: none found.
How current is this page?
The grade is for one exact copy of the source (45d21dc75974), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.
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