testing
Add, update, or diagnose pytest coverage for RLM behavior using focused fake environments and optional Docker integration tests.
Skill by williamntlam
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: testing, devops
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/testing
What's inside
- Skill name
testing- Description
- Add, update, or diagnose pytest coverage for RLM behavior using focused fake environments and optional Docker integration tests.
- License
- MIT
- Instructions
- 50 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- fake-runtime.md · references/
SKILL.md (first lines)
# Testing The important regressions here are silent contract failures: an oversized prompt sent to a model, source data leaking into history, a path escaping its workspace, or an error that destroys usable diagnostics. Test observable invariants rather than a model's wording. Run the smallest relevant module first, then the full suite for changes that cross runtime boundaries: ```bash uv run pytest tests/unit/test_<area>.py uv run pytest tests/integration/test_<area>.py # Fast RLM product contracts (excludes optional boundaries and eval tooling). uv run pytest -m "not docker and not eval_support and not harbor" uv run pytest uv run ruff check rlm tests ``` For fake runtime tests, read [`references/fake-runtime.md`](references/fake-runtime.md). Docker tests are separate and require a running daemon: ```bash uv run pytest -m docker ``` Use `eval_support` for deterministic tests of opt-in judge, case, or benchmark helpers; never make a live model call from pytest. Use `harbor` for deterministic Harbor task-layout/verifier checks. Harbor runs themselves are repeated autonomous-agent integration benchmarks, not pytest tests. Test placement follows the behavior under test: focused deterministic contracts go in `tests/unit/`; workflows crossing RLM components, domains, CLI, logging, or Docker boundaries go in `tests/integration/`; Harbor harness checks go in `tests/harbor/`; and live-evaluation support stays in `tests/eval_support/`. Follow [`tests/README.md`](../../tests/README.md): arrange explicit inputs, act through the public boundary, and assert observable results or artifacts. Use `make_rlm` for scripted fake-runtime tests; its named `RLMHarness` exposes `.rlm` and `.client` while preserving tuple unpacking. Do not force pure unit, Docker, Harbor, and evaluation-support tests into one generic scenario type. Prefer invariants over exact model-output transcripts. For planned execution, test both routes with `FakeClient`: a fit record must consume a bounded leaf before final rendering, and an oversized record must launch a target-enforced child. Also assert the renderer bindings exclude the original repo/corpus and that planner fallback remains manifest-scoped.
From williamntlam/recursive-language-model, MIT.
More from williamntlam/recursive-language-model
- 0.526score
docker-repl
williamntlam
Change the Docker REPL image, in-container namespace, RPC boundary, or isolation settings without exposing source writes, credentials, or network access.
SkillBFreshness: BClaude Code +9 - 0.526score
evaluation
williamntlam
Add or modify RLM evaluations, including Harbor agent tasks, LLM-as-judge utilities, rubrics, cases, or long-context benchmarks while keeping model cost…
SkillBFreshness: BClaude Code +9 - 0.526score
runtime-development
williamntlam
Change RLM runtime behavior, repository or corpus domains, backends, or the Python API while preserving data isolation and budget behavior.
SkillBFreshness: BClaude Code +9 - 0.526score
cli-and-config
williamntlam
Change CLI commands, flags, TOML/YAML configuration, precedence, or startup errors while keeping authentication out of config files.
SkillBFreshness: BClaude Code +9 - 0.521score
observability
williamntlam
Change trajectory logging, report generation, or runtime error reporting while preserving useful diagnostics and safe HTML output.
SkillBFreshness: BClaude Code +9 - 0.521score
overengineering-check
williamntlam
Review an RLM specification, design, or change for complexity without a clear justification, including speculative abstraction and premature extensibility.
SkillBFreshness: BClaude Code +9 - 0.521score
prompt-safety
williamntlam
Change root or leaf prompts, exposed-method catalogs, history handling, or prompt-budget enforcement without weakening anti-context-rot guarantees.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 27, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from williamntlam
- 0.526score
docker-repl
williamntlam
Change the Docker REPL image, in-container namespace, RPC boundary, or isolation settings without exposing source writes, credentials, or network access.
SkillBFreshness: BClaude Code +9 - 0.526score
evaluation
williamntlam
Add or modify RLM evaluations, including Harbor agent tasks, LLM-as-judge utilities, rubrics, cases, or long-context benchmarks while keeping model cost…
SkillBFreshness: BClaude Code +9 - 0.526score
runtime-development
williamntlam
Change RLM runtime behavior, repository or corpus domains, backends, or the Python API while preserving data isolation and budget behavior.
SkillBFreshness: BClaude Code +9 - 0.526score
cli-and-config
williamntlam
Change CLI commands, flags, TOML/YAML configuration, precedence, or startup errors while keeping authentication out of config files.
SkillBFreshness: BClaude Code +9 - 0.521score
observability
williamntlam
Change trajectory logging, report generation, or runtime error reporting while preserving useful diagnostics and safe HTML output.
SkillBFreshness: BClaude Code +9 - 0.521score
overengineering-check
williamntlam
Review an RLM specification, design, or change for complexity without a clear justification, including speculative abstraction and premature extensibility.
SkillBFreshness: BClaude Code +9
Cite this page
testing skill. Agent Mart. https://agentmart.dev/skills/williamntlam-testing (last updated 2026-10-24)