A test runner for Lark integration scenarios, where Lark is Feishu’s workplace collaboration platform. It analyzes failures, applies limited automatic fixes, and produces a report.

Use it to run the Lark scenario suite, classify failures, attempt up to three repair rounds, and review the resulting report.

It reduces the manual effort needed to identify whether a failing integration test comes from changed tests, prompts, or tools.

self-test — Skill for Claude Code and Codex by cklxx/elephant.ai

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.

Any agent

npx skills add cklxx/elephant.ai --skill self-test

Clone the repo

git clone --depth 1 https://github.com/cklxx/elephant.ai

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cklxx/elephant.ai/self-test/github.svg)](https://agentmods.dev/skills/cklxx/elephant.ai/self-test)

Your own site

<a href="https://agentmods.dev/skills/cklxx/elephant.ai/self-test"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/self-test/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cklxx/elephant.ai/self-test"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/self-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 309 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 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.

Model	Per session	Once invoked
Fable 5.1	$0.00025	$0.00309
Opus 5.5	$0.00010	$0.00124
Sonnet 5.5	$0.00005	$0.00062
Haiku 4.5	$0.00003	$0.00031

Measured 2mo ago against content hash c09b0e0732d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

self-test scanned grade A with 0 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 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (run.py, tests/__init__.py, tests/test_self_test.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/self-test/SKILL.md · 29 lines

What it actually says

self-test

Run the Lark scenario test suite, analyze failures by root cause (test_drift, prompt_issue, tool_bug, etc.), apply tiered auto-fixes (up to 3 rounds), and generate a structured report. All test execution, failure analysis, and iterative repair logic are handled by run.py.

调用

python3 skills/self-test/run.py run

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2mo ago First seen · 29 lines · 25 tokens per session scan A c09b0e0732d1

Subscribe to this mod's changes

self-test is a skill published in the GitHub repository cklxx/elephant.ai (11 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 309 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Testing

self-test next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
self-testcklxx/elephant.ai	Skill	11	7mo ago	MIT	A	25	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

self-test

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

self-test

调用

What ships with it

What this file has done since we first saw it

self-test compared with skills from other repositories