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.
git clone --depth 1 https://github.com/granoflow/granoflow-mcp-serverWrote 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/rules/granoflow/granoflow-mcp-server/skill-testing)<a href="https://agentmods.dev/rules/granoflow/granoflow-mcp-server/skill-testing"><img src="https://agentmods.dev/badge/rules/granoflow/granoflow-mcp-server/skill-testing/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/rules/granoflow/granoflow-mcp-server/skill-testing"><img src="https://agentmods.dev/badge/rules/granoflow/granoflow-mcp-server/skill-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00383 | $0.00383 |
| Opus 5.5 | $0.00153 | $0.00153 |
| Sonnet 5.5 | $0.00077 | $0.00077 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
skill-testing 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.
What it actually says
Skill Testing
Follow popular Agent Skills practice (Anthropic / agentskills.io style):
Allowed in CI
- Structure:
SKILL.mdexists; YAML frontmatter has non-emptynameanddescription;namematches the skill directory;descriptionlength ≤ 1024. Covered bytests/skills-structure.test.ts. - Scripts: unit/integration tests for real
skills/*/scriptsI/O and error codes undertests/python/. - MCP surface: skill tools assert
ok,data.path, non-emptyskill(optionally starts with---), and optionalreferences[].referenceIdpresence — not body phrases.
Forbidden
Do not add or restore tests that treat skill markdown as a snapshot:
// FORBIDDEN — prose / gate-copy contract locks
const skill = readFileSync("skills/granoflow-…/SKILL.md", "utf8");
expect(skill).toContain("some workflow sentence");
expect(reference).toMatch(/hard.gate.phrase/i);
expect(JSON.stringify(skillToolResult)).toContain("activation phrase");
That pattern does not prove agent behavior; it only freezes wording and creates false confidence.
Behavior correctness
Use LLM evals (trigger + functional expectations) when validating that agents follow a skill. This repo does not require eval harness in CI today. Do not substitute evals with markdown toContain locks.
Planning / ask-mode
Do not invent natural-language Excel “test cases” for prose-only skill edits.
For those changes: files + intent → edit → npm run check. See change-quality-gate.mdc.
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 · 38 lines · 383 tokens per session scan A ef98a506f916
skill-testing is a cursor rule published in the GitHub repository granoflow/granoflow-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 383 tokens to every session, about $0.0015 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 2026-08-31.
Other cursor rules, from other repositories
fuzzing
Fuzzing setup and guidelines for skia-rs.
testing-and-quality
The testcomprehensive.py provides systematic testing of all 31 MCP tools.
smoke-monkey-tester
Smoke tests for core functionality and monkey/chaos tests aiming to break the system with randomized inputs. / TR: Sistemin temel fonksiyonlarını kontrol eden smoke testler ve rastgele girdilerle sistemi çökertmeyi hedefleyen monkey/chaos testleri.
testing
Testing conventions for Ion Design System using Jest and Angular Testing Library.
STAGE_S5_TEST_POINTS
A staged workflow for turning approved requirements into a complete list of test points. It checks required earlier documents and records any requirement that has no matching test point.
pre-flight-check
Mandatory fail-fast quality gate — run Typecheck, Lint, Test, and Security Audit sequentially before declaring any task done or committing code.