verify

A repository-specific workflow for testing build and release scripts without using the network or running the real installer.

In plain words
What is it for?
It is for safely exercising scripts that download the CLI, build wheels, update versions, or validate CLI versions by using isolated stubs and temporary files.
Why use it?
It catches script problems while avoiding changes to the developer's installed command-line tool and other machine files.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/anthropics/claude-agent-sdk-python/verify
Any agent
npx skills add anthropics/claude-agent-sdk-python --skill verify
Clone the repo
git clone --depth 1 https://github.com/anthropics/claude-agent-sdk-python

Made for: Claude Code, Codex.

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,045 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
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 $0.00048 $0.01045
Opus 5 $0.00024 $0.00522
Sonnet 5 $0.00010 $0.00209
Haiku 4.5 $0.00005 $0.00104

Measured 2d ago against content hash f499a4e88c29, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

verify scanned grade C 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 2d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

`scripts/download_cli.py` shells out to `curl https://claude.ai/install.sh | bash`

Makes network callslowCapability

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

`scripts/download_cli.py` shells out to `curl https://claude.ai/install.sh | bash`
.claude/skills/verify/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verifying the build scripts

The SDK itself is a library (drive it through import claude_agent_sdk), but the scripts/ directory is a set of CLIs run by the release workflows. Verify them by running them, not by importing them.

NEVER run the real installer

scripts/download_cli.py shells out to curl https://claude.ai/install.sh | bash (and the PowerShell equivalent). Running it for real overwrites the claude binary on the developer's machine. Do not run bash install.sh, and do not invoke download_cli.py with latest/stable (or any case variant) against the real network.

Instead, put stub curl / bash / powershell on a temp PATH and drive the script under env -i with an isolated HOME (so find_installed_cli() cannot discover the real binary and copy it into src/claude_agent_sdk/_bundled/).

The harness

SB=$(mktemp -d); mkdir -p $SB/stub $SB/home $SB/repo/src/claude_agent_sdk
cp scripts/{download_cli.py,build_wheel.py,update_cli_version.py,_cli_version_validation.py} $SB/repo/scripts/
printf '__cli_version__ = "2.1.208"\n' > $SB/repo/src/claude_agent_sdk/_cli_version.py

cat > $SB/stub/curl <<'EOF'
#!/bin/bash
out=""; prev=""; for a in "$@"; do [ "$prev" = "-o" ] && out="$a"; prev="$a"; done
echo "[stub curl] argv: $*" >> "$MARKER"
[ -n "$out" ] && printf '%b' "${CURL_BODY:-#!/bin/bash\necho hi\n}" > "$out"
exit ${CURL_EXIT:-0}
EOF
cat > $SB/stub/bash <<'EOF'
#!/bin/bash
{ echo "[stub bash] argc=$#"; for a in "$@"; do echo "    <$a>"; done; } >> "$MARKER"
EOF
chmod +x $SB/stub/*

cd $SB/repo
env -i HOME=$SB/home PATH=$SB/stub:/usr/bin:/bin MARKER=$SB/m \
    CLAUDE_CLI_VERSION=2.1.208 .venv/bin/python scripts/download_cli.py

run_command() captures the child's output, so the stubs must log to a $MARKER file — printing to stderr is swallowed.

Flows worth driving

  • update_cli_version.py <version> — the whole validator surface is reachable here: a concrete version writes the file; latest/stable, v2.1.207, next, 2.1, and a quote-breakout string each exit 1 with a distinct message and leave the file untouched.
  • build_wheel.py --skip-sdist — reads the pin, then chains into download_cli.py. Rewrite _cli_version.py in the sandbox to a moving tag / single quotes / garbage / delete it: each must fail before any subprocess is spawned. --cli-version <v> bypasses the pin (intentional escape hatch; the release workflow does not use it).
  • download_cli.py — set CURL_BODY to an HTML error page or an empty string to prove the body check refuses it with no retry; empty the PATH to prove a missing curl fails fast in one attempt; CURL_EXIT=22 to prove a genuine transient failure still retries 3×.
  • The Windows path is unreachable on Linux. It is behind platform.system() == "Windows". Drive it with a small runner that patch.object(m.platform, "system", return_value="Windows") and a stub powershell that reads the -Command text and honours $env:CLAUDE_CLI_INSTALL_SCRIPT. This is the one place where forcing the platform is legitimate.

Read the full file on GitHub · 80 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. 2d ago First seen · 80 lines · 48 tokens per session scan C f499a4e88c29

Subscribe to this mod's changes

verify is a skill published in the GitHub repository anthropics/claude-agent-sdk-python (8,018 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 1,045 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens