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.
npx skills add clay-good/OpenLore --skill openlore-write-testsgit clone --depth 1 https://github.com/clay-good/OpenLoreWrote 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.
[](https://agentmods.dev/skills/clay-good/openlore/openlore-write-tests)<a href="https://agentmods.dev/skills/clay-good/openlore/openlore-write-tests"><img src="https://agentmods.dev/badge/skills/clay-good/openlore/openlore-write-tests/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.
<a href="https://agentmods.dev/skills/clay-good/openlore/openlore-write-tests"><img src="https://agentmods.dev/badge/skills/clay-good/openlore/openlore-write-tests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 44 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 45 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00041 | $0.02109 |
| Opus 5.5 | $0.00016 | $0.00844 |
| Sonnet 5.5 | $0.00008 | $0.00422 |
| Haiku 4.5 | $0.00004 | $0.00211 |
Grade A, and why
openlore-write-tests 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 1mo 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.
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.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
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.
- 1mo ago First seen · 229 lines · 41 tokens per session scan A 6a914ac5d0cb
openlore-write-tests is a skill published in the GitHub repository clay-good/OpenLore (355 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 2,109 once invoked, about $0.0002 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.
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