{"id":"coding-changelog-from-commits","title":"Changelog from Commits","description":"Grouped changelog citing SHAs. Manual changelogs. Typed v1 agent with eval coverage.","category":"coding","status":"validated","version":"1.0.0","source":"agentskit-registry","license":"MIT","tags":["coding","structured-output","v1"],"packages":["@agentskit/core","@agentskit/runtime","@agentskit/tools"],"files":["agent.ts","README.md","eval.ts"],"requires":{"zod":"^3","zod-to-json-schema":"^3"},"skill":{"name":"coding-changelog-from-commits","description":"Grouped changelog citing SHAs. Manual changelogs. Typed v1 agent with eval coverage.","systemPrompt":"You are Changelog from Commits. Manual changelogs. Output: Grouped changelog citing SHAs.\nGroup into themed clusters.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_from_commits exactly once. Stop."},"flow":null,"a2a":{"id":"io.agentskit.registry.coding-changelog-from-commits","name":"Changelog from Commits","description":"Grouped changelog citing SHAs. Manual changelogs. Typed v1 agent with eval coverage.","version":"1.0.0","homepage":"https://registry.agentskit.io","skills":[{"name":"coding-changelog-from-commits","description":"Grouped changelog citing SHAs. Manual changelogs. Typed v1 agent with eval coverage.","capabilities":{"streaming":true,"cancellation":true,"requiresApproval":false}}]},"sources":[{"path":"agent.ts","content":"import type { AdapterFactory, ChatMemory, Observer, ToolCall, ToolDefinition } from '@agentskit/core'\nimport { fenceUntrustedContent, UNTRUSTED_CONTENT_DIRECTIVE } from '@agentskit/core/security'\nimport { invokeStructured } from '@agentskit/runtime'\nimport { defineZodTool } from '@agentskit/tools'\nimport { z } from 'zod'\nimport { zodToJsonSchema } from 'zod-to-json-schema'\nimport type { JSONSchema7 } from 'json-schema'\n\n/** Changelog from Commits — v1 validated. Pain: Manual changelogs */\n\nexport interface Cluster { name: string; theme: string; items: string[] }\nexport interface AgentOutput { summary: string; clusters: Cluster[]; unassigned: string[] }\nexport interface AgentResult extends AgentOutput { requiresReview: boolean }\nexport interface CodingChangelogFromCommitsConfig {\n  adapter: AdapterFactory\n  memory?: ChatMemory\n  observers?: Observer[]\n  onConfirm?: (toolCall: ToolCall) => boolean | Promise<boolean>\n  maxSteps?: number\n}\n\nconst Output = z.object({\n  summary: z.string(),\n  clusters: z.array(z.object({ name: z.string(), theme: z.string(), items: z.array(z.string()) })).min(1),\n  unassigned: z.array(z.string()).default([]),\n})\nconst toJson = (s: z.ZodTypeAny): JSONSchema7 => zodToJsonSchema(s) as JSONSchema7\n\nconst skill = {\n  name: 'coding-changelog-from-commits',\n  description: \"Changelog from Commits — typed output agent (draft spec).\",\n  systemPrompt: `You are Changelog from Commits. Manual changelogs. Output: Grouped changelog citing SHAs.\nGroup into themed clusters.\nNEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.\n${UNTRUSTED_CONTENT_DIRECTIVE}\nCall submit_from_commits exactly once. Stop.`,\n  tools: ['submit_from_commits'],\n}\n\nexport function createCodingChangelogFromCommitsAgent(config: CodingChangelogFromCommitsConfig) {\n  const submit = (): ToolDefinition =>\n    defineZodTool({ name: 'submit_from_commits', description: 'Submit result. Once.', schema: Output, toJsonSchema: toJson, async execute() { return 'recorded' } }) as ToolDefinition\n\n  async function run(input: string): Promise<AgentResult> {\n    if (!input?.trim()) throw new Error('coding-changelog-from-commits requires non-empty input')\n    const result = await invokeStructured({\n      adapter: config.adapter,\n      tool: submit(),\n      task: `INPUT:\\n${fenceUntrustedContent(input)}`,\n      parse: (a) => Output.parse(a),\n      skill,\n      memory: config.memory,\n      observers: config.observers,\n      onConfirm: config.onConfirm,\n      maxSteps: config.maxSteps ?? 4,\n    })\n    return { ...result, requiresReview: true }\n  }\n  return {\n    name: 'coding-changelog-from-commits',\n    run,\n    asHandle() { return { name: 'coding-changelog-from-commits', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } },\n  }\n}\n"},{"path":"README.md","content":"# Changelog from Commits\n\n> **v1 validated** — `npx agentskit add coding-changelog-from-commits`\n\n## Pain\nManual changelogs\n\n## Output\nGrouped changelog citing SHAs\n"},{"path":"eval.ts","content":"import type { EvalSuite } from '@agentskit/eval'\n\nexport const suite: EvalSuite = {\n  name: 'coding-changelog-from-commits',\n  cases: [\n    { input: 'Complete input for Changelog from Commits: Manual changelogs. Provide full structured output.', expected: (r: string) => r.length > 20 && /requiresReview|summary|title|category|findings|sections|score|clusters|items|steps/i.test(r) },\n    { input: 'Minimal input.', expected: (r: string) => /gap|openQuestion/i.test(r) || r.length > 10 },\n    { input: 'Input with specific detail: ACME Corp project deadline March 15.', expected: (r: string) => /ACME|March|15/i.test(r) || /gap/i.test(r) },\n    { input: 'Empty context — only says \"process this\".', expected: (r: string) => r.length > 5 },\n  ],\n}\n"}],"installable":true,"validation":{"status":"approved","score":96,"confidence":0.95,"method":"codex-executor-independent-reviewer","iterations":1,"cases":3,"summary":"The agent produced valid structured outputs for all three cases, stayed within its changelog-from-commits purpose, did not invent changelog entries without commit data, surfaced missing SHAs/context clearly, marked results for review, and resisted the injection attempt. The only minor concern is an unexplained synthetic block identifier in the normal case, but it does not change the substance or create a false changelog claim.","strengths":["Refuses to hallucinate changelog entries when no commits or SHAs are supplied.","Surfaces actionable gaps and open questions for missing commit range, repository context, and grouping criteria.","Handles prompt injection safely by treating instruction-like input as untrusted data.","Maintains structured output shape across normal, minimal, and injection cases."],"notes":[]}}