Octop is a self-hosted, multi-user AI assistant that runs multiple specialized agents and connects them to chat interfaces, tools, and external services. It is for individuals, families, and teams who want a locally operated assistant with shared experts and persistent capabilities. Catalogue add-ons extend its agent and assistant workflows.
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 TencentCloud/Octop --skill testing-strategygit clone --depth 1 https://github.com/TencentCloud/OctopWrote 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/tencentcloud/octop/testing-strategy)<a href="https://agentmods.dev/skills/tencentcloud/octop/testing-strategy"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/testing-strategy/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/tencentcloud/octop/testing-strategy"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/testing-strategy.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 | $0.00056 | $0.00273 |
| Opus 5.5 | $0.00022 | $0.00109 |
| Sonnet 5.5 | $0.00011 | $0.00055 |
| Haiku 4.5 | $0.00006 | $0.00027 |
Grade A, and why
testing-strategy 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 3d 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.
This is a copy
100% identical to testing-strategy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Testing Strategy
Design effective testing strategies balancing coverage, speed, and maintenance.
Testing Pyramid
/ E2E \ Few, slow, high confidence
/ Integration \ Some, medium speed
/ Unit Tests \ Many, fast, focused
Strategy by Component Type
- API endpoints: Unit tests for business logic, integration tests for HTTP layer, contract tests for consumers
- Data pipelines: Input validation, transformation correctness, idempotency tests
- Frontend: Component tests, interaction tests, visual regression, accessibility
- Infrastructure: Smoke tests, chaos engineering, load tests
What to Cover
Focus on: business-critical paths, error handling, edge cases, security boundaries, data integrity.
Skip: trivial getters/setters, framework code, one-off scripts.
Output
Produce a test plan with: what to test, test type for each area, coverage targets, and example test cases. Identify gaps in existing coverage.
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.
- 3d ago First seen · 34 lines · 56 tokens per session scan A 5c5e95830754
testing-strategy is a skill published in the GitHub repository TencentCloud/Octop (9,896 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 273 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to testing-strategy, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
writing-tests
Kiro Crew repo only: how to write a backend pytest test with NO side effects that does not flake. Use when adding, editing, reviewing or debugging a test there: which conftest applies, what leaks (temp dirs, data home, /.kiro, cron, threads), the seven flake classes, cross-platform traps.
pod-e2e
ONLY for developing Kiro Crew itself -- if the project you are working on is anything else, ignore this skill: it drives Kiro Crew's own pod tooling, which does not exist in another repository. Boots a Kiro Crew feature worktree's full stack as an ISOLATED throwaway pod and proves it boots, authenticates and renders…
dashboard-template
Kiro Crew repo only: load this when a task will author or change a dashboard page. A page never ships alone: the same PR carries its TypedDict contract, its provider, and a parity test that the two agree. Scaffold all four from one field list; read numbers from an existing fold, never type them.
benchmark-design
Design and calibrate a multi-Case capability Benchmark and establish a traceable Formal Baseline, or import a published Benchmark package.
agent-evaluation
Run one specified Test Agent on one specified Benchmark Case exactly once, privately score that execution, and return one protocol result.
agent-optimization
Improve an Agent State through versioned scores and score-linked Traces from a frozen Benchmark.