Claude-skill-registry examples-auto-run

Run python examples in auto mode with logging, rerun helpers, and background control.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/examples-auto-run" ~/.claude/skills/majiayu000-claude-skill-registry-examples-auto-run-788732 && rm -rf "$T"

manifest: skills/data/examples-auto-run/SKILL.md

source content

examples-auto-run

What it does

Runs

uv run examples/run_examples.py

with:

```
EXAMPLES_INTERACTIVE_MODE=auto
```
(auto-input/auto-approve).
Per-example logs under
```
.tmp/examples-start-logs/
```
.
Main summary log path passed via
```
--main-log
```
(also under
```
.tmp/examples-start-logs/
```
).
Generates a rerun list of failures at
```
.tmp/examples-rerun.txt
```
when
```
--write-rerun
```
is set.

Provides start/stop/status/logs/tail/collect/rerun helpers via
```
run.sh
```
.
Background option keeps the process running with a pidfile;
```
stop
```
cleans it up.

Usage

# Start (auto mode; interactive included by default)
.codex/skills/examples-auto-run/scripts/run.sh start [extra args to run_examples.py]
# Examples:
.codex/skills/examples-auto-run/scripts/run.sh start --filter basic
.codex/skills/examples-auto-run/scripts/run.sh start --include-server --include-audio

# Check status
.codex/skills/examples-auto-run/scripts/run.sh status

# Stop running job
.codex/skills/examples-auto-run/scripts/run.sh stop

# List logs
.codex/skills/examples-auto-run/scripts/run.sh logs

# Tail latest log (or specify one)
.codex/skills/examples-auto-run/scripts/run.sh tail
.codex/skills/examples-auto-run/scripts/run.sh tail main_20260113-123000.log

# Collect rerun list from a main log (defaults to latest main_*.log)
.codex/skills/examples-auto-run/scripts/run.sh collect

# Rerun only failed entries from rerun file (auto mode)
.codex/skills/examples-auto-run/scripts/run.sh rerun

Defaults (overridable via env)

```
EXAMPLES_INTERACTIVE_MODE=auto
```
```
EXAMPLES_INCLUDE_INTERACTIVE=1
```
```
EXAMPLES_INCLUDE_SERVER=0
```
```
EXAMPLES_INCLUDE_AUDIO=0
```
```
EXAMPLES_INCLUDE_EXTERNAL=0
```

Auto-approvals in auto mode:

APPLY_PATCH_AUTO_APPROVE=1

SHELL_AUTO_APPROVE=1

AUTO_APPROVE_MCP=1

Log locations

Main logs:
```
.tmp/examples-start-logs/main_*.log
```

Per-example logs (from

run_examples.py

.tmp/examples-start-logs/<module_path>.log

Rerun list:
```
.tmp/examples-rerun.txt
```
Stdout logs:
```
.tmp/examples-start-logs/stdout_*.log
```

Notes

The runner delegates to
```
uv run examples/run_examples.py
```
, which already writes per-example logs and supports
```
--collect
```
,
```
--rerun-file
```
, and
```
--print-auto-skip
```
.
```
start
```
uses
```
--write-rerun
```
so failures are captured automatically.
If
```
.tmp/examples-rerun.txt
```
exists and is non-empty, invoking the skill with no args runs
```
rerun
```
by default.

Behavioral validation (Codex/LLM responsibility)

The runner does not perform any automated behavioral validation. After every foreground

start

rerun

, Codex must manually validate all exit-0 entries:

Read the example source (and comments) to infer intended flow, tools used, and expected key outputs.
Open the matching per-example log under
```
.tmp/examples-start-logs/
```
.
Confirm the intended actions/results occurred; flag omissions or divergences.
Do this for all passed examples, not just a sample.
Report immediately after the run with concise citations to the exact log lines that justify the validation.