browser-to-api
Turn a website's observable HTTP traffic into a best-effort OpenAPI 3.1 spec by analyzing a `browser-trace` capture. Use when the user wants to discover/extract API endpoints from a browser session, build an OpenAPI doc from network traffic, or document a third-party site's XHR/fetch surface for client integration.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=browserbase-skills-skills-browser-to-api-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name browser-to-api description Turn a website's observable HTTP traffic into a best-effort OpenAPI 3.1 spec by analyzing a `browser-trace` capture. Use when the user wants to discover/extract API endpoints from a browser session, build an OpenAPI doc from network traffic, or document a third-party site's XHR/fetch surface for client integration. compatibility Requires Node 18+ and a `browser-trace` run directory (`.o11y/<run>/`) produced by the sibling `browser-trace` skill. The scripts use only the Node standard library — no `npm install` step. `jq` is referenced in docs for ad-hoc querying but is not required by the scripts. license MIT allowed-tools Bash, Read, Grep Browser to API Replay-driven API discovery. Consume a browser-trace capture, pair its CDP request / response events, templatize observed URLs, infer JSON schemas from samples, and emit an OpenAPI 3.1 document plus a human-readable coverage report. This skill does not capture traffic . It is purely offline post-processing on top of browser-trace 's cdp/network/*.jsonl buckets. The two skills compose: browser-trace → .o11y/<run>/cdp/network/{requests,responses}.jsonl browser-to-api → .o11y/<run>/api-spec/index.html + openapi.yaml + client.mjs When to use The user wants an OpenAPI document for a third-party or undocumented website API. The user has a browser-trace run and wants endpoints + schemas extracted from it. The user is building a client/SDK against a site that doesn't publish a spec. The user wants a coverage report showing which flows would broaden the spec. If the user wants to capture traffic, send them to browser-trace first. Two-step workflow 1. Capture with browser-trace (and optionally bodies via browse network on ) # Local example against an existing debuggable Chrome target TARGET=9222 node ../browser-trace/scripts/start-capture.mjs " $TARGET " my-site browse open about:blank --cdp " $TARGET " browse network on # capture request/response bodies browse open https://example.com # ...drive whatever flows you want covered... # Snapshot the bodies dir BEFORE turning capture off (the temp dir is shared # per-session, so subsequent `browse network on` runs would mix your bodies # with whatever a future capture writes if you skip this step). cp -r " $(browse network path | jq -r .path) " .o11y/my-site/cdp/network/bodies/ browse network off node ../browser-trace/scripts/stop-capture.mjs my-site node ../browser-trace/scripts/bisect-cdp.mjs my-site browse network on is optional but strongly recommended — without it, the spec has no response-body schemas (the CDP firehose used by browse cdp does not embed bodies). With it, both request bodies (already captured by CDP) and response bodies are joined into the trace by CDP requestId . 2. Generate the spec node scripts/discover.mjs --run .o11y/my-site # → .o11y/my-site/api-spec/index.html ← open this # .o11y/my-site/api-spec/client.mjs # .o11y/my-site/api-spec/openapi.yaml # .o11y/my-site/api-spec/openapi.json # .o11y/my-site/api-spec/report.md # .o11y/my-site/api-spec/confidence.json # .o11y/my-site/api-spec/samples/*.json # .o11y/my-site/api-spec/intermediate/*.jsonl discover.mjs auto-detects <run>/cdp/network/bodies/ . To use a body capture from elsewhere (e.g. didn't snapshot, want the live browse network dir), pass --bodies <path> explicitly. 3. Open the HTML report After discover.mjs finishes, always open the generated HTML report : open .o11y/my-site/api-spec/index.html The report is a self-contained HTML file (no server needed) that shows each discovered operation as an expandable card with variables, client usage, request/response examples, and a generated client.mjs snippet at the bottom. This is the primary deliverable — always open it for the user. CLI flags Flag Required Meaning --run <path> yes Path to a browser-trace run directory --out <path> no Output dir; default <run>/api-spec/ --bodies <path> no browse network capture dir to join into the trace (auto-detected from <run>/cdp/network/bodies/ when present) --include <regex> no Only include URLs matching regex (repeatable) --exclude <regex> no Exclude URLs matching regex (repeatable; in addition to defaults) --origins <list> no Comma-separated origin allow-list (e.g. api.example.com,example.com ) --format <yaml|json|both> no Output format. Default both --title <string> no OpenAPI info.title . Default derived from primary origin --redact <list> no Extra header names / JSON keys to redact (comma-separated) --min-samples <n> no Minimum samples per endpoint to include. Default 1 --stage <name> no Run only one stage: load , filter , normalize , infer , emit Output layout <run>/api-spec/ ├── index.html visual report — open this (self-contained, no server) ├── client.mjs zero-dep fetch client with typed functions per operation ├── openapi.yaml machine-readable spec ├── openapi.json mirror ├── report.md markdown summary + curl examples ├── confidence.json per-endpoint confidence + normalization flags ├── samples/ redacted request/response examples │ └── <method>__<path-hash>.json └── intermediate/ pipeline byproducts (paired/filtered/endpoints jsonl) What you get from browse cdp and browse network Two complementary capture sources: Source Provides Limitation browse cdp (used by browser-trace ) request method/URL/headers/ postData , response status/headers/mimeType, full event timing Does not embed response bodies. Bodies must be pulled with Network.getResponseBody , which the firehose doesn't do. browse network on (separate command) request bodies AND response bodies on disk, keyed by CDP requestId Capture dir is shared per browse session; snapshot before another browse network on overwrites it. discover.mjs will pull bodies from a browse network dir if you pass --bodies <path> (or stash them under <run>/cdp/network/bodies/ , which is auto-detected). The matching is by requestId — browse network writes that into each request.json as id , and we join directly. What changes when bodies are present: ✅ Path templating, query-param schemas, status codes, content-types — same either way. ✅ Request-body schemas — postData from CDP is enough; bodies dir is a nice-to-have for non- postData cases. ✅ Response-body schemas — fully inferred from real samples. Without bodies you get { description, content: <mimeType> } skeletons. The report flags every endpoint that has no response-body sample. Automatic noise filtering The normalize stage automatically classifies and drops infrastructure noise: Tracking / analytics — paths containing /track , /pixel , /beacon , /impression , /pageview , /dag/v* Bot defense — Akamai ( /akam/ ), fingerprint payloads ( sensor_data ), obfuscated multi-segment paths Session plumbing — /session , /authenticate/start , cookie consent, A/B experiment endpoints HTML page renders — GET requests returning text/html (the rendered page, not the API) This typically drops 60-80% of captured traffic. The --include flag can rescue a false positive. GraphQL / multiplexed endpoint decomposition When a single endpoint (like /dapi/fe/gql ) is called with different operationName values, the skill automatically splits it into separate logical operations. Each gets its own: OpenAPI path entry (e.g. /dapi/fe/gql [Autocomplete] ) Request/response schema inferred from only that operation's samples Curl example and variables table in the report Detection works on body fields ( operationName , method , action ) and query params ( opname , op ). This covers GraphQL (APQ and inline), JSON-RPC, and similar dispatch patterns. Limitations Coverage is bounded by the captured flow. Endpoints not exercised in the trace will not appear. The skill cannot prove completeness. Schemas are inductive, not contractual. A field might be optional on the server even if every sample contained it. Auth is observed, not specified. The skill records auth-shaped headers in an x-observed-auth extension but won't claim a security scheme. Path templating is heuristic. Numeric / UUID / hex / slug patterns are detected per segment. Ambiguous URLs are flagged in confidence.json . Redaction is best-effort. Default redactions cover common credentials, but app-specific secrets may slip through; use --redact for known custom headers/keys. Best practices Drive the flows you want documented. The richer the browser-trace, the richer the spec. Use --origins for noisy sites. A marketing page hits dozens of analytics hosts; restrict to the API origin you care about. Inspect report.md first. It has curl-ready examples and response samples for every discovered operation. Bump --min-samples to 2+ when you want only confidently-shaped endpoints in the final doc — drop the long tail. Pair with browse network on when response-body schemas matter. The CDP firehose alone has request bodies but not response bodies. For pipeline internals and the file format reference, see REFERENCE.md .
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |