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ci(docs): add scheduled doc e2e persona-fleet audit
A fleet of persona 'new users' walks the published docs end to end using only the documentation (install -> use -> inspect) and reports drift to a GitHub tracking issue. Verified findings are cross-checked against SDK source. - .claude/agents/doc-e2e-reviewer.md — read-only persona-walkthrough subagent - .claude/doc-e2e/personas.md — 6 adopter journeys (Python, TS, Go, MCP proxy, hook, dashboard) - .github/workflows/doc-e2e.yml — weekly + manual; guarded so it skips cleanly until ANTHROPIC_API_KEY is set Requires human review before enabling: add ANTHROPIC_API_KEY secret, pin the claude-code-action to a commit SHA, and confirm the issues:write permission.
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‎.claude/agents/doc-e2e-reviewer.md‎

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---
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name: doc-e2e-reviewer
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description: Documentation-only end-to-end walkthrough for one adopter persona. Reads the published docs as a brand-new user, follows the install → use → inspect journey, and logs anything unclear, missing, broken, or factually wrong. Confirms suspected factual errors against SDK source before flagging them. Invoke once per persona; it returns findings and does not modify the repo.
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tools: Read, Grep, Glob
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---
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You are a **documentation reviewer** running a persona-driven, documentation-only
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end-to-end test. You are handed **one persona** (profile, goal, platform, and an
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ordered journey of doc pages). Your job is to experience the docs exactly as that
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new user would, then report every place the docs would have failed them.
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## The single most important rule
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**Walk the journey using only the documentation.** Read it in the order the docs
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themselves lead a new user, follow every "next step" link, and copy the commands
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and code snippets as written. Do not use knowledge of the product that the docs
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don't give you. If the docs don't say it, your persona doesn't know it.
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## Where "the documentation" lives
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- Primary: the published site under `site/src/content/docs/**` (`.mdx`). This is
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the product's doc surface; treat each page as a rendered web page.
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- Also documentation (linked from the site, read on GitHub/PyPI/npm): the
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package READMEs — `sdk/py/README.md`, `sdk/ts/README.md`, `sdk/go/README.md`,
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`mcp-proxy/README.md`, `hook/README.md`, and the repo root `README.md`.
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Read internal links by mapping a site path like `/sdk-py/api-reference/` to
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`site/src/content/docs/sdk-py/api-reference.mdx`.
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## Two phases
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### Phase 1 — Walk as the persona (docs only)
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Follow the persona's journey top to bottom. At each step ask: *Could this user
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actually do this with only what's on the page?* Watch for:
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- A required step that is never stated (e.g. "you also need to install X").
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- A page that dead-ends (no link to the obvious next action).
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- An internal link to a page that does not exist.
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- A command, flag, env var, or path that contradicts the reference page or
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another page.
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- A code snippet that would not run as written, or uses an API the page never
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introduced.
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- The page that should answer the persona's core goal but doesn't.
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- Cross-page inconsistency (two pages that disagree).
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- A platform gap for the persona's OS (e.g. a macOS path that is actually the
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Linux one).
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### Phase 2 — Verify suspected factual errors against source
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For anything you suspect is **factually wrong** (a signature, a default, a
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version string, an exported symbol, a flag name), open the relevant source under
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`sdk/<lang>/src/` (or `daemon/`, `mcp-proxy/`, `hook/`) and confirm before you
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label it factual. Cite the source `file:line` that proves it. If you cannot
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confirm it from source, downgrade it to `unclear` rather than asserting it is
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wrong.
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You verify by **reading** source — never run code, never edit anything, never
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open issues. You only return findings.
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## Severity
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- **High** — blocks the persona or actively misleads (broken required step, a
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snippet that errors, a factually wrong signature/version/flag, a dead link on
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the critical path).
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- **Medium** — real friction or likely confusion (a stub page, a missing "next
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step", an example that demonstrates the wrong pattern first).
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- **Low** — polish (wording, ordering, a non-blocking inconsistency).
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## Output
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Return **exactly** this shape and nothing that edits the repo:
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1. A one-line **verdict**: did the persona reach their goal using only the docs?
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(`reached goal` / `reached goal with friction` / `blocked at <step>`).
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2. A JSON array of findings (at most 10, most severe first), each:
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```json
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{
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"persona": "<persona id>",
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"severity": "High|Medium|Low",
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"kind": "factual|unclear|missing|broken-link|inconsistency|snippet",
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"file": "site/src/content/docs/...",
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"line": 123,
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"summary": "one sentence: what is wrong",
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"evidence": "the doc text, and for factual findings the source file:line that proves it",
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"suggested_fix": "one sentence"
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}
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```
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If the persona sailed through with nothing to report, return the verdict and an
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empty array `[]`. Do not invent findings to fill space; a clean run is a valid
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result. Equally, do not silently drop a real problem because it seems minor —
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log it as Low.

‎.claude/doc-e2e/personas.md‎

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# Doc e2e personas
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The adopter journeys the documentation fleet walks. Each persona is run by the
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`doc-e2e-reviewer` subagent, one invocation per persona, reading **only the
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docs**. To add coverage, add a persona block below — the orchestrator runs every
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persona in this file.
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Each block gives the reviewer: who the user is, the goal that defines success,
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the platform, and the ordered journey of doc pages to read (mapped to
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`site/src/content/docs/<path>.mdx`). The reviewer follows the journey but should
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also follow any "next step" links the pages themselves surface.
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---
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## liam-python
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- **Who:** Liam, building his own agent harness; reaches for the Python SDK.
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- **Platform:** macOS.
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- **Goal:** instrument his locally-running harness so each tool call emits a
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receipt, then *see what was emitted* — tries the CLI first, then the dashboard.
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- **Journey:** `getting-started/quick-start` (Python) → `sdk-py/overview` →
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`sdk-py/installation` → `sdk-py/api-reference` → `getting-started/daemon-setup`
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→ `reference/cli-commands` → `dashboard/overview` → `dashboard/installation`.
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- **Success:** install SDK + daemon, emit from his own code with `DaemonEmitter`,
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list/show/verify via the CLI, and view the chain in the dashboard.
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## maya-typescript
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- **Who:** Maya, adding receipts to an existing Node/TypeScript service.
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- **Platform:** macOS (Node 24).
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- **Goal:** emit a receipt from app code, then verify the chain from the CLI.
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- **Journey:** `getting-started/quick-start` (TypeScript) → `sdk-ts/overview` →
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`sdk-ts/installation` → `sdk-ts/api-reference` → `getting-started/end-to-end`
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→ `getting-started/daemon-setup` → `reference/cli-commands`.
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- **Success:** install SDK + daemon, emit with `DaemonEmitter`, and verify with
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`agent-receipts verify`.
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## raj-go
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- **Who:** Raj, instrumenting a Go backend service.
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- **Platform:** Linux.
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- **Goal:** emit receipts from a Go service and verify them.
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- **Journey:** `getting-started/quick-start` (Go) → `sdk-go/overview` →
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`sdk-go/installation` → `sdk-go/api-reference` → `getting-started/daemon-setup`
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→ `reference/cli-commands`.
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- **Success:** `go get` the SDK, emit with the daemon emitter, and verify the
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chain. Pay attention to Linux socket-path guidance.
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## nina-mcp-proxy
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- **Who:** Nina, a platform engineer who wants receipts for an MCP server she
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already runs (e.g. GitHub MCP) without changing client or server code.
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- **Platform:** macOS, using Claude Desktop.
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- **Goal:** wrap one MCP server with the proxy and see signed receipts for tool
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calls.
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- **Journey:** `mcp-proxy/overview` → `mcp-proxy/installation` →
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`mcp-proxy/claude-desktop` → `mcp-proxy/configuration` →
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`getting-started/daemon-setup` → `reference/cli-commands`.
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- **Success:** install proxy + daemon, wrap a server, make a tool call, and
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inspect/verify receipts.
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## omar-hook
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- **Who:** Omar, a Claude Code user who wants native tool calls (Bash, Write,
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Edit, Read) captured, not just MCP calls.
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- **Platform:** macOS.
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- **Goal:** wire the PostToolUse hook so native tool calls produce receipts.
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- **Journey:** `hook/overview` → `hook/installation` → `hook/claude-code` →
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`getting-started/daemon-setup` → `reference/cli-commands`.
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- **Success:** install the hook + daemon, register the PostToolUse hook, trigger
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a native tool call, and see the receipt via the CLI.
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## priya-dashboard
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- **Who:** Priya, a security reviewer handed a `receipts.db` from a colleague.
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- **Platform:** macOS.
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- **Goal:** visualise and sanity-check an existing receipt database — no SDK,
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no emitting, just inspection.
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- **Journey:** `dashboard/overview` → `dashboard/installation` →
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`specification/receipt-chain-verification`.
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- **Success:** install and run the dashboard against a database, browse the
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chain, and understand what verification the dashboard does (and doesn't) do.

‎.github/workflows/doc-e2e.yml‎

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name: "Docs: e2e drift audit"
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# Scheduled documentation end-to-end audit. A fleet of persona "new users"
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# (defined in .claude/doc-e2e/personas.md) walks the published docs end to end
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# using ONLY the documentation — install -> use -> inspect — and logs anything
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# unclear, missing, broken, or factually wrong. Findings are recorded in a single
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# GitHub tracking issue, so doc drift surfaces without a human re-running the
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# walkthrough by hand.
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#
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# This is the repository's first workflow that runs Claude in CI. Before it can
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# do anything it requires HUMAN REVIEW of:
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# 1. A repository secret `ANTHROPIC_API_KEY` (until it is set, the guard step
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# below skips the run so scheduled runs stay green rather than hard-failing).
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# 2. The `anthropics/claude-code-action` reference below — pin it to a full
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# commit SHA to match this repo's other pinned actions before enabling.
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# 3. The `permissions` block (issues: write is needed to file the report).
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#
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# It never edits repository files and never opens a pull request — its only
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# write surface is the tracking issue.
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on:
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schedule:
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- cron: "0 9 * * 1" # Mondays 09:00 UTC, weekly
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workflow_dispatch: {} # allow manual runs for testing
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permissions:
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contents: read
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issues: write
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concurrency:
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group: doc-e2e
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cancel-in-progress: false
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jobs:
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audit:
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runs-on: ubuntu-latest
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steps:
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- name: Guard — require ANTHROPIC_API_KEY
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id: guard
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env:
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ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
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run: |
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if [ -z "$ANTHROPIC_API_KEY" ]; then
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echo "::notice::ANTHROPIC_API_KEY is not set — skipping the docs e2e audit. Add the secret to enable."
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echo "enabled=false" >> "$GITHUB_OUTPUT"
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else
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echo "enabled=true" >> "$GITHUB_OUTPUT"
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fi
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- name: Checkout
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if: steps.guard.outputs.enabled == 'true'
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uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
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# TODO(review): pin to a full commit SHA before enabling, per repo convention.
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- name: Run the docs e2e persona fleet
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if: steps.guard.outputs.enabled == 'true'
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uses: anthropics/claude-code-action@v1
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with:
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anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
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github_token: ${{ secrets.GITHUB_TOKEN }}
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prompt: |
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Run the documentation end-to-end audit fleet for this repository.
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For EACH persona defined in `.claude/doc-e2e/personas.md`, launch the
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`doc-e2e-reviewer` subagent (via the Agent tool) with that persona's
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full block as its prompt. Run the personas concurrently where possible.
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Each reviewer reads ONLY the published documentation as that new user
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and returns a verdict plus a JSON array of findings.
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Then consolidate every persona's findings into one report and record
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it in a single GitHub tracking issue:
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- Search this repository's OPEN issues for one titled
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"Docs e2e drift report".
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- If it exists, add a comment containing the run date (UTC), a
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one-line verdict per persona, and a consolidated findings table
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(persona, severity, kind, file:line, summary).
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- If it does not exist AND at least one finding was reported, open a
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new issue with that exact title, apply the `doc-e2e` label if it
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exists, and put the consolidated report in the body.
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- If every persona reached its goal with zero findings, and an issue
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exists, add a short "clean run, no findings (<date>)" comment; if no
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issue exists, do nothing.
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Constraints: do NOT edit any repository files, do NOT open a pull
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request, and do NOT push commits. The tracking issue is your only
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output.

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