boardwalk: Skill for Claude Code

.claude/skills/verify/SKILL.md

verify is a skill for Claude Code from boardwalk-labs/boardwalk. It costs 44 tokens per session (894 once invoked), scanned B, original, Apache-2.0.

A procedure for testing changes to a local coding-agent engine by running the real server and an agent loop against it. It uses a scripted local model, so no service credentials are needed.

In plain words
What is it for?
Use it after changing the engine, its context-compaction behavior, its tools, or its server to verify the local build.
Why use it?
It checks actual runtime behavior, tool use, and context handling instead of testing only isolated pieces of code or a remote installation.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is boardwalk-labs/boardwalk's own configuration. It tells Claude Code how to work on boardwalk itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything boardwalk configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node bin/boardwalk-server.js &.

Reuse

Borrowing it

Nothing to install: this file belongs to boardwalk-labs/boardwalk. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/boardwalk-labs/boardwalk/main/.claude/skills/verify/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/boardwalk-labs/boardwalk

Made for: Claude Code.

Wrote 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.

agentmods badge for verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/boardwalk-labs/boardwalk/verify/github.svg)](https://agentmods.dev/skills/boardwalk-labs/boardwalk/verify)
Your own site
<a href="https://agentmods.dev/skills/boardwalk-labs/boardwalk/verify"><img src="https://agentmods.dev/badge/skills/boardwalk-labs/boardwalk/verify/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.

agentmods 80×15 button for verify

Your own site · 80×15
<a href="https://agentmods.dev/skills/boardwalk-labs/boardwalk/verify"><img src="https://agentmods.dev/badge/skills/boardwalk-labs/boardwalk/verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 894 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00894
Opus 5 $0.00022 $0.00447
Sonnet 5 $0.00009 $0.00179
Haiku 4.5 $0.00004 $0.00089

Measured 9d ago against content hash e00563db9cac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

verify scanned grade B with 2 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 9d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

curl -s -X POST localhost:8081/api/workflows/<slug>/runs -H 'content-type: application/json' -d '{}'

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s localhost:8081/api/workflows
.claude/skills/verify/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verifying an engine change by running it

The surface is bin/boardwalk-server.js — the self-hosted single-node server. It runs your LOCAL dist/ build, so it actually exercises your diff. The installed boardwalk CLI does NOT: it only drives remote engines, so it verifies nothing about local changes.

The credential problem, and the way around it

The managed lane wants BOARDWALK_API_KEY and hits the real gateway. You usually don't have one, and hunting for stored CLI tokens is both blocked and wrong.

Instead use a local OpenAI-compatible provider — an explicitly supported config path ({"ollama":{"base_url":"http://localhost:11434/v1"}}). Point it at a scripted endpoint you write. This is a test double at a genuine network boundary, not a unit test: the real server, real HTTP, real tool execution, real loop. It also lets you control prompt_tokens, which matters because that number feeds the leaf's context calibration.

Recipe

npm run build          # server runs dist/, so ALWAYS rebuild after editing src/

# 1. scripted model on :8099 speaking SSE chat-completions (see the pattern below)
node fake_model.mjs &

# 2. the real engine server, pointed at it
BOARDWALK_PORT=8081 \
BOARDWALK_DATA_DIR=$V/data \
BOARDWALK_WORKFLOWS_DIR=$V/data/workflows \
BOARDWALK_PROVIDERS='{"fake":{"base_url":"http://localhost:8099/v1","protocol":"openai"}}' \
node bin/boardwalk-server.js &

# 3. drive it — routes are /api/..., NOT /v1/...
curl -s localhost:8081/api/workflows
curl -s -X POST localhost:8081/api/workflows/<slug>/runs -H 'content-type: application/json' -d '{}'
curl -s localhost:8081/api/runs/<runId>          # status, tokensIn/Out, error

The workflow file goes in $BOARDWALK_WORKFLOWS_DIR/<slug>.mjs and imports from @boardwalk-labs/workflow. It is deployed automatically at server boot (watch the log).

Gotchas that cost time

  • Routes are /api/*. /v1/* returns NOT_FOUND (that's the hosted API's shape).
  • The workspace is per-run ($DATA_DIR/runs/<id>/workspace) and the program's cwd is the workspace. Write "big.txt", not "/workspace/big.txt"/workspace is the hosted (fleet) convention and does not exist locally.
  • read's offset is 1-based. Passing offset: 0 errors; it does not mean "start".
  • The stall guard is real. A scripted model that emits the identical tool call every turn trips "stuck repeating the same tool call(s)" after 5 in a 6-turn window. Vary the arguments (e.g. a moving offset) or your loop dies before it gets long.
  • Run output is a child process — its stderr is NOT in the server log. To observe engine internals, append to a file from inside the loop (temporarily) rather than writing to stderr.

Read the full file on GitHub · 67 lines

Changes

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.

  1. 9d ago First seen · 67 lines · 44 tokens per session scan B e00563db9cac

Subscribe to this mod's changes

verify is a skill published in the GitHub repository boardwalk-labs/boardwalk (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 44 tokens to every session and 894 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.