openlore-write-tests
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- Engineering
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- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @tomevault-io · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- macOS · Linux · Windows
- Runtime requirements
- Python
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: openlore-write-tests
description: Write real tests for a function or spec scenario — language-agnostic (TypeScript, Python, C++…).…
category: engineering
runtime: Python
---
# openlore-write-tests output preview
## PART A: Task fit
- Use case: Write real tests for a function or spec scenario — language-agnostic (TypeScript, Python, C++…). Reads the implementation and spec contract first, runs tests, fixes failures. No stubs, no placeholders. Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “When to use this skill / Step 1 — Identify target + detect framework / Step 2 — Orient” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Write real tests for a function or spec scenario — language-agnostic (TypeScript, Python, C++…). Reads the implementation and spec contract first, runs tests, fixes failures. No stubs, no placeholders. Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “When to use this skill / Step 1 — Identify target + detect framework / Step 2 — Orient” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/openlore-write-tests`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “When to use this skill / Step 1 — Identify target + detect framework / Step 2 — Orient”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: openlore-write-tests
description: Write real tests for a function or spec scenario — language-agnostic (TypeScript, Python, C++…).…
category: engineering
source: tomevault-io/skills-registry
---
# openlore-write-tests
## When to use
- Write real tests for a function or spec scenario — language-agnostic (TypeScript, Python, C++…). Reads the implementat…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “When to use this skill / Step 1 — Identify target + detect framework / Step 2 — Orient” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "openlore-write-tests" {
input -> user goal + target files + boundaries + acceptance criteria
context -> When to use this skill / Step 1 — Identify target + detect framework / Step 2 — Orient
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} openlore: Write Tests
When to use this skill
Trigger this skill when the user wants to write real tests for a function, module, or spec scenario, with phrasings like:
- "write tests for X"
- "add test coverage for Y"
- "what spec scenarios are untested?"
- "implement the test for this scenario"
- explicit command
/openlore-write-tests
The rule: read the implementation and spec contract before writing a single assertion.
No expect(true).toBe(true), no stubs, no placeholders.
Prerequisite: openlore analysis must exist (openlore analyze has been run).
If orient returns "error": "no cache" → run openlore analyze first, then retry.
Step 1 — Identify target + detect framework
Ask the user:
- Target — a function name, file path, spec scenario, or domain to test. If unsure, skip to Step 1b.
$PROJECT_ROOT— project root directory.
Step 1b — Find untested scenarios (if no target given)
Call the openlore MCP tool get_test_coverage with {"directory": "$PROJECT_ROOT"}.
Present the top 5 uncovered scenarios to the user, ranked by spec importance. Ask which to implement first.
Step 1c — Detect test framework
Scan the project root for framework config files:
| File found | Framework |
|---|---|
vitest.config.*, vitest.config.ts |
Vitest — runner: npx vitest run <file> |
jest.config.* |
Jest — runner: npx jest <file> |
pytest.ini, pyproject.toml (with [tool.pytest]), setup.cfg |
pytest — runner: pytest <file> -v |
CMakeLists.txt with enable_testing(), *.test.cpp |
CTest/GTest — runner: build + ctest |
go.mod |
Go test — runner: go test ./... |
Store as $TEST_RUNNER. If ambiguous, ask the user.
Step 2 — Orient
Call the openlore MCP tool orient with:
{
"directory": "$PROJECT_ROOT",
"task": "write tests for $TARGET",
"limit": 5
}
Extract:
$TARGET_FILE— the file containing the function(s) to test$EXISTING_TEST_FILE— nearby test file, if any (e.g.foo.test.ts,test_foo.py,foo_test.go)$SPEC_DOMAIN— the spec domain associated with the target
Step 3 — Read implementation + spec contract
This step is mandatory. Do not write any test before completing it.
3a — Read the function body
Call the openlore MCP tool get_function_body with:
{
"directory": "$PROJECT_ROOT",
"symbol": "$TARGET_FUNCTION",
"filePath": "$TARGET_FILE"
}
Identify:
- What the function takes as input, what it returns
- What external dependencies it calls (filesystem, network, DB, LLM, subprocess)
- What invariants are visible (guards, throws, early returns)
3b — Find the spec contract (if specs exist)
Call the openlore MCP tool search_specs with:
{
"directory": "$PROJECT_ROOT",
"query": "$TARGET — expected behaviour",
"limit": 5
}
For each matching spec scenario, note:
- The GIVEN / WHEN / THEN clauses — these become the test body
- The scenario name — this becomes the
it()/def test_/TEST()description
If no specs exist, infer the contract from the function signature, docstring, and call sites. Document the inferred contract explicitly before writing any test.
3c — Absorb local test conventions
If $EXISTING_TEST_FILE exists, read it. Extract:
- Mock setup pattern (
vi.mock,unittest.mock.patch,gmock, etc.) - Fixture or factory helpers
- Import path style (relative vs absolute)
- Describe/class/suite structure
If no test file exists nearby, find the closest test file in the project tree and read that instead.
Step 4 — Write tests
Write (or append to) $EXISTING_TEST_FILE (or create <name>.test.ts / test_<name>.py / <name>_test.go next to the source file).
Rules — enforced without exception
No placeholder assertions —
expect(true).toBe(true),assert True,EXPECT_TRUE(true),self.assertTrue(True)are forbidden. Every assertion must test real return values or side effects.One test = one scenario — each
it()/def test_/TEST()maps to one GIVEN/WHEN/THEN clause. Use the spec scenario name (or a descriptive contract statement) as the test description.Annotation tag (mandatory) — place a coverage tag on the line immediately above each
describe/ class / suite block soopenlore test --coveragecan track it:- TypeScript/JS:
// openlore: {"domain":"$DOMAIN","requirement":"$REQ","scenario":"$SCENARIO","specFile":"openspec/specs/$DOMAIN/spec.md"} - Python:
# openlore: {"domain":"$DOMAIN","requirement":"$REQ","scenario":"$SCENARIO"} - C++/Go:
// openlore: {"domain":"$DOMAIN","requirement":"$REQ","scenario":"$SCENARIO"}
If no spec scenario exists (contract inferred), omit the tag.
- TypeScript/JS:
Mock only system boundaries — mock filesystem, network, LLM API, DB connections, and external processes. Do not mock the function under test, its pure helpers, or in-memory logic.
One suite per function —
describe/ class / suite named after the function. Use nested blocks for distinct concerns (happy path, error path, edge cases).At least one edge case — empty input, null/None/nullptr, maximum value, or an error path must be included for every function tested.
Small model constraint — if the test file exceeds 200 lines, split into multiple files grouped by concern. Each file must be independently runnable.
Structure reference (adapt to the detected framework)
// TypeScript / Vitest
import { describe, it, expect, vi, beforeEach } from 'vitest';
import { $TARGET_FUNCTION } from '../$TARGET_FILE';
vi.mock('../$DEPENDENCY', () => ({ ... }));
// openlore: {"domain":"$DOMAIN","requirement":"$REQUIREMENT","scenario":"$SCENARIO","specFile":"openspec/specs/$DOMAIN/spec.md"}
describe('$TARGET_FUNCTION', () => {
beforeEach(() => { vi.resetAllMocks(); });
describe('$SCENARIO_NAME', () => {
it('should $EXPECTED_BEHAVIOUR when $CONDITION', () => {
// GIVEN
// WHEN
const result = $TARGET_FUNCTION($INPUT);
// THEN
expect(result).toEqual($EXPECTED);
});
});
});
# Python / pytest
import pytest
from unittest.mock import patch, MagicMock
from $MODULE import $TARGET_FUNCTION
# openlore: {"domain":"$DOMAIN","requirement":"$REQUIREMENT","scenario":"$SCENARIO"}
class Test$TargetFunction:
def test_$scenario_name_when_$condition(self):
# GIVEN / WHEN / THEN
result = $target_function($input)
assert result == $expected
Step 5 — Run and fix
Run the test file with $TEST_RUNNER. Iterate until all tests pass.
| Outcome | Action |
|---|---|
| All green | Proceed to Step 6 |
| Failure in new test | Diagnose: is the assertion wrong, or is there a real bug? Fix the assertion if the expectation was incorrect. If a real bug is revealed, do not weaken the assertion — report the bug instead. |
| Failure in pre-existing test | Stop. Fix the regression before adding more tests. |
| Test can't compile / import | Fix the import path, mock setup, or dependency injection before retrying. |
Do not weaken assertions to make tests pass. A test that masks a bug is worse than no test.
Step 6 — Coverage check
Call the openlore MCP tool get_test_coverage with {"directory": "$PROJECT_ROOT"}.
Report:
- Which spec scenarios are now covered (new)
- Which scenarios remain uncovered in
$SPEC_DOMAIN - Whether any hub functions in
$SPEC_DOMAINare still untested (high-value next targets)
Absolute constraints
- Never write
expect(true).toBe(true),assert True, or equivalent placeholder assertions - Never skip Step 3 — the implementation read and spec contract are the test source of truth
- Never mock the function under test itself
- Never weaken an assertion to make a test pass — fix the implementation or the expectation
- If
get_test_coverageshows the scenario is already covered, report it and stop - Do not refactor the implementation as part of this skill — open a separate task
Source: clay-good/OpenLore — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review