AI coding assistants are powerful, but requirements that live only in chat history are hard to inspect, review, and close out cleanly. OSpec adds a lightweight workflow layer so the repository can hold the change context before code is written and after the work ships.
Spec-driven work, saved to your repo — OSpec turns a request into files (proposal, design, plan, tasks, reviews, verification evidence) that live in your repo instead of in chat history, so any assistant (Codex/GPT, Claude Code, Gemini, OpenCode, or plain CLI) can pick up exactly where the last one stopped.
Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.
स्टार
391
टूल
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अपटाइम
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ospec change — the everyday fast flow — one requirement becomes one active change on a short init -> change -> verify/finalize path, kept lightweight and easy to review.
ospec goal for larger or riskier work — describe the result you need; the AI asks important questions, writes an inspectable plan, implements the work, runs tests, requests an independent review, updates project docs, and continues until the result is proven.
One predictable Goal workflow — every Goal uses the same fast quality path, pauses for material user decisions, and saves progress in the repository so a later session can resume it.
Install With npm
npm install -g @clawplays/ospec-cli
Official package: @clawplays/ospec-cli
Command: ospec
Verify install: ospec --help
Quick Start
OSpec only takes 3 steps:
initialize OSpec in your project directory
create and advance one change for a requirement, document update, or bug fix
archive the accepted change after deployment and validation are complete
1. Initialize OSpec In Your Project Directory
Recommended prompt:
OSpec, initialize this project.
Claude / Codex skill mode:
/ospec initialize this project.
ospec init .
ospec init . --summary "Internal admin portal for operations"
ospec init . --summary "Internal admin portal for operations" --tech-stack node,react,postgres
ospec init . --architecture "Single web app with API and shared auth" --document-language en-US
CLI notes:
--summary: project overview text written into the generated docs
--tech-stack: comma-separated stack list such as node,react,postgres
--architecture: short architecture description
--document-language: generated doc language, choose from en-US, zh-CN, ja-JP, or ar
AI-first language resolution order: explicit language request in the conversation -> current conversation language -> persisted project language in .skillrc
CLI language resolution order: explicit --document-language -> persisted project language in .skillrc -> existing project docs / managed for-ai/* guidance / asset manifest -> fallback en-US
OSpec persists the chosen project document language in .skillrc and reuses it for for-ai guidance, ospec change, and ospec update
new projects initialized by ospec init default to the nested layout: root .skillrc and README.md, with OSpec-managed files under .ospec/
plain init does not create optional knowledge maps such as .ospec/knowledge/src/ or .ospec/knowledge/tests/; those appear only when a project already has legacy knowledge content to migrate or when future explicit knowledge-generation flows create them
CLI commands still accept shorthand like changes/active/<change-name>, but the physical path in nested projects is .ospec/changes/active/<change-name>
if you pass these values, OSpec uses them directly when generating project docs
if you do not pass them, OSpec reuses existing docs when possible and otherwise creates placeholder docs first
2. Create And Advance A Change
Use this for requirement delivery, documentation updates, refactors, and bug fixes.
Recommended prompt:
OSpec, create and advance a change for this requirement.
Claude / Codex skill mode:
/ospec-change create and advance a change for this requirement.
/ospec-goal create and advance a full goal for this requirement.
The classic change flow above stays simple: proposal.md → tasks.md → implement → verification.md → review.md, with no controller layer. The agent controller layer — parallel worker dispatch, reviewer gates, and durable evidence — belongs to the full goal workflow. Use it with ospec goal, or on a single change only when you explicitly opt into agent/worker execution. OSpec keeps the controller state in repo artifacts, and the current AI harness starts native worker agents when available.
launch writes artifacts/agents/launch-plan.md; it does not start workers by itself. Codex/GPT use spawn_agent plus bounded wait_agent, Claude Code uses bounded background Task polling when available, Gemini uses @generalist, and OpenCode uses @mention. Every native adapter returns from one wait within 60 seconds, refreshes heartbeats, persists each completed child immediately, and re-ticks. The 60-second boundary limits one controller poll, not the AI task runtime: a live child continues across polls up to its configurable absolute action deadline. OSpec never starts Orca, Codex, Claude, or another agent CLI as a fallback. If the current model harness cannot provide native subagents, executable dispatch blocks until a supported harness reports a fresh capability.
For a controller-owned Goal, task and final reviews are always issued by ospec loop tick so the dispatch is atomically bound to the real reviewer executor. Use ospec execute review directly only in a non-controller workflow.
3. Archive After Acceptance
After the requirement has passed deployment, testing, QA, or other acceptance checks, archive the validated change.
run your project-specific deploy, test, and QA flow first
use ospec verify to confirm the active change is ready
use ospec finalize to rebuild indexes and archive the accepted change
force archive is never automatic: it requires the force flag, an exact change-name confirmation, and an audit reason; it refuses any missing, issued, or running Loop item, but may preserve an unconsumed pointer whose items are all terminal; the archive is marked forced, incomplete, and accepted-risk instead of completed
new nested projects archive under .ospec/changes/archived/YYYY-MM/YYYY-MM-DD/<change-name>; CLI shorthand under changes/archived/... still works
existing flat archives are reorganized by ospec update
Goal: Use It For Work That Needs More Care
Use a Goal only when you choose the full workflow. A user-selected Change remains a Change regardless of complexity, file count, risk, or batch size; create it with ospec change (ospec new remains an alias).
A Change uses compact stage-aware guidance, one lightweight current-AI review, and derived closeout state. When verification, documentation, and review gates pass, APPROVED or APPROVED_WITH_CONCERNS may finalize and archive automatically; explicit batches stay sequential in the queue.
Then tell the AI what outcome you need in ordinary language. You can also skip the terminal command and say: "Use OSpec goal for this requirement and carry it through to completion."
That is all a normal user needs to operate. The AI will:
Ask only the choices that materially change the result.
Write the proposal, design, and implementation plan, then run deterministic design and plan preflights without launching reviewer children.
Derive the task graph and run one independent combined planning review across requirements, architecture, task boundaries, dependencies, and verification coverage.
If that review finds issues, repair the planning set once as a group and run one fresh combined planning review. A repeated failure stops instead of looping.
Run conflict-safe implementation workers, independent task reviews, an integration-focused final review, verification, documentation sync, and archive.
You remain in control. The AI explains what it is about to do, pauses when it needs a decision, and records task, review, repair, verification, and loop progress in the repository so a fresh worker or later session can continue without replaying the conversation. You do not need to run the internal ospec execute commands yourself.
Every Goal uses the same fast quality workflow. Required user decisions always block implementation. The integrated goal loop reads task-graph.json, emits a bounded conflict-safe parallel batch, and explains whether configured limits, graph conflicts, token funding, an optional configured allowlist, or known harness capacity reduced it. Unknown native capacity uses an implementation fallback of three; a larger positive session-bound capacity can support configured batches such as 5-10 when the graph, shared resources, token budget, and maxParallel allow. The current IDE AI launches one fresh native subagent per referenced packet, polls with bounded waits, refreshes heartbeats, persists each finished result immediately, and continues ticking without another user prompt. If the IDE lacks native subagents, controller dispatch fails clearly.
To see progress, child executor ids, heartbeat due times, leases, token sources, and concurrency reasons, run ospec loop status --brief; controller agents should use ospec loop run --once --compact-json to avoid repeating large runtime-adapter objects. Use ospec loop configure for concurrency, budgets, action runtime limits, evidence-result grace, and optional allowlists. IDE controllers persist child ownership with ospec loop heartbeat and atomically commit successful evidence plus executor outcome with ospec loop finalize. After a confirmed session or child loss, ospec loop recover --force expires only unfinished items. Task and final repair convergence guards prevent repeated finding sets from cycling indefinitely. Durable worker blockers are not redispatched, technical executor failures remain retryable, and independent ready tasks run first. Advanced loop and triage commands are documented in docs/loop-engineering.md.
Internally, OSpec validates design and implementation-plan readiness inline before task graph derivation, keeps implementation and code review separate, feeds blocked work and review findings into transactional retry or grouped repair, and requires current test evidence before the goal is considered complete.
Claude Code hard enforcement (one-time; the AI runs this for you automatically in a Claude Code harness):
ospec session hook --target claude --apply
This writes a hook bundle under .ospec/hooks/claude/ and merges it into .claude/settings.json (idempotent and reversible). The hooks:
announce every subagent dispatch and every ospec command at the tool level,
hard-block subagent dispatch while a required decision is still pending,
inject the static Announce-Before-Act / Brainstorm-First contract only on startup, clear, or compact, while prompt submission stays silent unless a required decision is pending.
Hooks load at session start, so they take effect from the next Claude Code session.
Update With npm
For an existing OSpec project, after upgrading the CLI with npm, run this in the project directory to refresh the project's OSpec files:
ospec update
ospec update also migrates legacy root-level build-index-auto.cjs / build-index-auto.js tooling into .ospec/tools/build-index-auto.cjs and refreshes OSpec-managed hook entrypoints to use the new location.
It also repairs older OSpec projects that still have an OSpec footprint but are missing newer core runtime directories, and refreshes managed skills and archive layout metadata.
For nested projects that still carry legacy knowledge under .ospec/src/ or .ospec/tests/, ospec update migrates those paths into .ospec/knowledge/src/ and .ospec/knowledge/tests/.
It does not upgrade the CLI itself, and it does not migrate active / queued changes automatically.
It also does not switch a classic project layout to nested automatically.
If you want to convert an older classic project to the new layout, run ospec layout migrate --to nested explicitly.
The minimum collaboration skeleton: root .skillrc and README.md, plus managed OSpec files under .ospec/ for change state, SKILL docs, index state, for-ai/ guidance, and project docs.
Project Knowledge Layer
Explicit project context such as docs/project/*, layered skill files, and index state that AI can read consistently.
Active Change
A dedicated execution container for one small or routine requirement, using the classic fast files: proposal.md, tasks.md, state.json, verification.md, and review.md.
Active Goal
A full-workflow execution container created with ospec goal, adding design.md, implementation-plan.md, artifacts/agents/task-graph.json, handoff artifacts, document-review artifacts, launch-plan artifacts, worker-run artifacts, reviewer-run artifacts, retry artifacts, review artifacts, artifacts/agents/worker-status.md, and evidence artifacts.
Features
Change-ready initialization: ospec init creates the protocol shell and baseline project knowledge docs in one pass.
Guided initialization: AI-assisted init can ask once for missing summary or tech stack; direct CLI init falls back to placeholder docs when context is missing.
Stable project language: the chosen document language is stored in .skillrc so later guidance and generated change docs stay consistent unless you explicitly change it.
Living feature docs with a locator: feature sections in human-owned docs declare ``; docs/project/feature-catalog.md carries one row per declared feature — slug, one line, doc#section, status, last-change archive — and ospec docs locate --feature <slug> or --affects <path> returns that one section's location and line range so an agent reads one section instead of a document.
Archived changes render on demand: archiving writes the change's index entry (with its features and documentation updates), refreshes the affected catalogue rows, and replaces the section's ospec:last-change traceability comment idempotently — the engine's only write into a human-owned document, and a comment failure warns instead of blocking. Nothing is generated under docs/project/changes/; ospec changes show <archive> renders the summary, affects, file list, and verification commands from the index and the archive directory. Goals still update the relevant human-maintained architecture, API, module, or operational docs.
Documentation obligations: at planning time ospec docs obligations --apply derives this change's obligations from its change_type and features (falling back to affects resolution through the code: declarations) with the resolved path#section already filled in — a fix checks the section for the pre-fix wrong behaviour, a refactor verifies it and may record verified_unchanged with ospec docs confirm. .skillrcdocs_contract.mode: warn|strict decides whether an unmet required obligation warns or blocks archiving. ospec docs audit lists feature sections whose code: paths changed since their last recorded change, and ospec docs migrate converts legacy generated documents into feature docs through four gated phases.
Scoped review evidence and cost metrics: task and final review dispatches write artifacts/agents/review-packages/*.diff with scoped Git evidence, while artifacts/agents/execution-metrics.json records packet/report/package bytes and task duration. Goal task graphs can enable documentation_updates so missing or undeclared project docs block archive.
Tracked requirement execution: small changes keep proposal, tasks, state, verification, and review files aligned; full goals also keep design, implementation plan, task graph, handoff, review, worker status, and evidence artifacts aligned.
Goal experience contracts: every goal runs with Announce-Before-Act (the AI announces its skill and stage, the ospec execute … command and the artifact it writes, and each subagent dispatch), Brainstorm-First (open direction, architecture, API, UI, risk, and scope decisions are asked one at a time through the native question UI before design is locked), and Zero-Setup (you only start a goal and describe the requirement — the AI runs every ospec command itself). In Claude Code, ospec session hook --target claude --apply adds hooks that announce every dispatch and hard-block subagent dispatch while a required decision is still pending.
Optional pre-change aids: ospec brainstorm writes durable exploration artifacts under .ospec/brainstorms/, with an optional static visual companion; ospec plan writes plan drafts under .ospec/plans/ and only updates implementation-plan.md when --apply is passed. The Change flow starts with ospec change (ospec new is an alias); the Goal flow starts with ospec goal only when selected by the user.
Session brief and hooks: ospec session writes .ospec/session-brief.json and .ospec/session-brief.md so agents or humans entering an existing project can see active changes, queued changes, queue-run state, indexed document and archived-feature counts, a cache fingerprint, and the next safe command before touching a change; ospec session hook --target claude writes opt-in harness startup artifacts plus a Claude Code hook bundle under .ospec/hooks/, and --apply idempotently merges it into .claude/settings.json.
Integrated goal loop: ospec loop run --once (or ospec loop tick) emits token-bounded planning, task, review, and verification actions for fresh model-native subagents. It uses packet paths instead of duplicating the whole goal, persists pending actions, and stops repeated repair findings instead of cycling. Optional configured allowlists add an explicit path and command boundary without creating another workflow level.
Task graph controller: ospec execute bootstrap writes a one-change startup/resume snapshot; preflight records deterministic design and implementation-plan evidence under artifacts/agents/planning-preflights/; workspace records git safety; dispatch, launch, complete, and review settle native-subagent packets; debug, tdd, and verify record durable evidence; sync rebuilds derived status.
Fast planning quality: deterministic preflights cost no model round trip, while one independent combined planning reviewer checks requirement, architecture, task-graph, dependency, and verification semantics. A NEEDS_CHANGES decision permits one grouped planning repair and at most one delta-scoped re-review; a repair executor failure with no planning edits re-arms instead of consuming the allowance, and all-medium-or-lower findings settle deterministically as APPROVED_WITH_CONCERNS after the repair. Planning approvals are invalidated only by semantic planning changes, never by execution progress; repeated semantic failure is a stable blocker.
Measured execution and grouped repair: command runners can write authoritative usage to OSPEC_USAGE_FILE for automatic ingestion, while --usage-file remains a manual input. Metrics distinguish complete, partial, and missing coverage. ospec execute repair turns all structured NEEDS_CHANGES findings into one repair task.
Verified durable documentation: declared documentation targets capture before/after normalized content hashes, so an unchanged file cannot satisfy a new run. The feature catalogue links completed work directly to the durable project documents it updated.
Queue helpers: queue and run support explicit multi-change execution when one active change is not enough.
Skill management: install and inspect OSpec skills for Codex and Claude Code.
Standard closeout: finalize verifies and archives the change, then refreshes the feature catalogue and knowledge index before manual Git commit. It never overwrites human-maintained architecture, module, or API prose.
Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Cod
Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.
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FAQ
सवाल
Ospec कैसे इंस्टॉल करें?
इस पेज पर Cursor, Claude Desktop, Claude Code या VS Code के लिए stdio कॉन्फ़िग कॉपी करें। यह पब्लिशर का इंस्टॉल इस्तेमाल करता है, PlugMCP प्रॉक्सी नहीं।
इस रिकॉर्ड में कोई ज़रूरी एनवायरनमेंट वेरिएबल दर्ज नहीं है।
Ospec कौन सा ट्रांसपोर्ट इस्तेमाल करता है?
Ospec stdio पर लोकल चलता है।
Ospec की पिछली जाँच कब हुई थी?
पिछली जाँच 2026-11-05 को हुई। Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.