# Deepseek Cli > A Claude skill from appleweiping/WEIPING_WHALE. - **Type:** Skill - **Install:** `agentstack add skill-appleweiping-weiping-whale-deepseek-cli` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [appleweiping](https://agentstack.voostack.com/s/appleweiping) - **Installs:** 0 - **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [appleweiping](https://github.com/appleweiping) - **Source:** https://github.com/appleweiping/WEIPING_WHALE/tree/master/.codex/skills/deepseek-cli ## Install ```sh agentstack add skill-appleweiping-weiping-whale-deepseek-cli ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # DeepSeek CLI Skill Use this skill for non-trivial work on `deepseek-cli-agent`, especially release-level improvements, runtime honesty, safety, MCP, memory, terminal UX, packaging, or documentation. ## Purpose Keep DeepSeek CLI honest, small, useful, and release-ready. The project is a terminal-native coding agent, not a web app and not a toy demo. Every substantial change should improve a complete lifecycle: planning -> design -> development -> testing -> release -> maintenance -> monitoring -> upgrade iteration ## Phase 1 - Plan 1. Inspect the current git status and protect user changes. 2. Read `README.md`, `package.json`, `config.toml`, `src/index.ts`, `src/agent.ts`, `src/config.ts`, `src/llm/deepseek.ts`, `src/memory.ts`, `src/session.ts`, `src/safety/*`, `src/tools/*`, `src/mcp/*`, `.github/workflows/ci.yml`, and the relevant tests/scripts. 3. Identify the project relationship: - `vipin-council`: orchestration and cross-model review. - `deepseek-cli`: terminal worker and fast local coding agent. - `vipin-lab`: experiment/workbench surface. 4. Define a version-level batch. Do not ship only typo fixes unless the user explicitly asks for a tiny change. ## Phase 2 - Design For non-trivial upgrades, inspect concrete source files from active open-source agent CLIs. Do not rely only on READMEs. Recommended references: - Google Gemini CLI: config validation, storage/session paths, retry/error handling, tool execution tests. - Aider: command running, model metadata, IO and regression tests. - OpenCode: config schema, permission model, provider status, session and error structure. Record the specific modules inspected in the README, release notes, or handoff when they shape the change. ## Phase 3 - Develop Prefer small internal modules with clear responsibilities: - runtime version constants - safe error redaction - config diagnostics - session storage - memory outbox - MCP diagnostics - safety gates Rules: - No raw API keys, bearer tokens, provider response bodies, or private paths in user-facing diagnostics. - Do not depend on retired Agent Hub mailbox/state paths. - Use active agentmemory when reachable; otherwise write only to the local DeepSeek CLI outbox. - Keep the default permission model safe: preview writes, workspace sandbox, shell approvals on request. - Keep runtime claims measurable. If the bundle size changes, remove stale size slogans. ## Phase 4 - Test Before review, run the full local gate: ```bash npm run typecheck npm test npm pack --dry-run ``` `npm test` must build, run no-network E2E checks, and run the release scan. For changes touching API, memory, sessions, safety, MCP, or config, add or update E2E coverage. Test offline/failed-service behavior, not only the happy path. ## Phase 5 - Release 1. Update `package.json`, runtime version constants, README, and package-lock when the change is version-level. 2. Ensure `config.toml` is safe as a packaged fallback. 3. Verify `npm pack --dry-run` contains only intended release files. 4. After verification and review, commit and push to the repo remote. ## Phase 6 - Maintenance Keep these surfaces current: - `README.md` - `.github/workflows/ci.yml` - `scripts/e2e.mjs` - `scripts/release-scan.mjs` - `config.toml` - this skill file Remove stale claims instead of layering corrections underneath them. ## Phase 7 - Monitoring Use these checks when diagnosing user reports: ```bash deepseek --doctor --json deepseek --models --json npm test npm pack --dry-run ``` Inspect whether failures are in auth, endpoint config, MCP startup, session loading, memory save, shell approval, or file sandboxing. ## Phase 8 - Upgrade Iteration For each substantial upgrade: 1. Re-read this skill and live project files. 2. Inspect at least one concrete source module from a mature open-source CLI relevant to the upgrade. 3. Implement the full batch. 4. Run all verification. 5. Only after the batch is complete, ask parallel reviewers to score architecture, safety, UX, tests, documentation, release readiness, and honesty. 6. Iterate until the score is 10/10 before commit and push. ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [appleweiping](https://github.com/appleweiping) - **Source:** [appleweiping/WEIPING_WHALE](https://github.com/appleweiping/WEIPING_WHALE) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-appleweiping-weiping-whale-deepseek-cli - Seller: https://agentstack.voostack.com/s/appleweiping - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.