openspec-apply-change
Use this skill at Step 6 of the v2 SOP to implement one task from the change's tasks/ directory at a time. Each invocation should produce a code diff for exactly one task document, touching ≤ 2 files, with prompts pre-routed through mcp-model-router and any L3/L4 text pre-desensitized via phi-desensitize. Updates the task document checkbox upon completion. Chinese trigger examples: "执行任务", "OpenSpec apply", "Step 6", "实现 任务", "应用变更". Do NOT use to implement multiple tasks at once, do NOT use without an active MODEL_ALLOWLIST, do NOT use bypassing phi-desensitize for L3/L4 text. Success = one
npx skills add charliehzm/medharness --skill openspec-apply-change --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OpenSpec Apply Change The implementation step. One task per invocation. Stay in scope. ## Discipline - Read the task document; do exactly what it says. - Do not bundle unrelated cleanup. - Do not refactor adjacent code. - Do not add comments unless WHY is non-obvious. - If the task is wrong/incomplete, **stop** and route to `prd-implementation-precheck` instead. ## Workflow 1. Open the task docu
What does the openspec-apply-change skill do?
Use this skill at Step 6 of the v2 SOP to implement one task from the change's tasks/ directory at a time. Each invocation should produce a code diff for exactly one task document, touching ≤ 2 files, with prompts pre-routed through mcp-model-router and any L3/L4 text pre-desensitized via phi-desensitize. Updates the task document checkbox upon completion. Chinese trigger examples: "执行任务", "OpenSpec apply", "Step 6", "实现 任务", "应用变更". Do NOT use to implement multiple tasks at once, do NOT use without an active MODEL_ALLOWLIST, do NOT use bypassing phi-desensitize for L3/L4 text. Success = one
How do I install it?
Run `npx skills add charliehzm/medharness --skill openspec-apply-change --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From charliehzm/medharness, a repository with 96 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.