基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/notque/vexjoy-agent --skill objective-loop命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Run the full evidence-to-live implementation workflow for large, multi-system, multi-wave, or CPU-delegated 5 Star Booker GM programs.
Classify user requests and route to the correct agent + skill. Primary entry point for all delegated work.
Structured multi-phase workflows: review, debug, refactor (tidy, clean up, untangle messy code without behaviour change), deploy, create, research.
| name | objective-loop |
| description | Loop /do cycles until done-criteria verify or budget stops. |
| user-invocable | false |
| allowed-tools | ["Read","Write","Edit","Bash","Glob","Grep","Skill","Task"] |
| routing | {"not_for":"one-off tasks that finish in a single dispatch, the harness '/loop 5m /cmd' command, installing system cron jobs (headless-cron-creator), implementing retry/backoff code inside a program (condition-based-waiting), single-condition waits (Monitor tool)","triggers":["keep working until","keep going until","iterate until done","loop on this until","until the tests pass","until CI is green","until all PRs are merged","drive this to done","objective with done criteria","work this until verified","reschedule yourself until"],"complexity":"Complex","category":"meta","pairs_with":["verification-before-completion","condition-based-waiting","feature-lifecycle"]} |
The toolkit's iterate-until-verified-done loop. A user states an objective with verifiable done-criteria; each iteration routes one /do cycle, verifies the criteria by executing them, and reschedules itself via ScheduleWakeup until verified-done or budget-stop. This skill is a planner/verifier wrapped around the /do router — it executes no work inline. Objectives over tasks: describe what done looks like and how to verify it; the loop finds the path.
Gather the objective spec from the request. Interview only for missing fields.
| Field | Required | Default |
|---|---|---|
| Objective statement | yes | — |
| DONE-CRITERIA | yes | — |
| Iteration budget | no | 5 |
| Token-budget note | no | orchestration.token_budget from .claude/settings.json (500000 when absent) |
| NOT-DONE-YET guardrails | no | empty |
DONE-CRITERIA are verifiable checks. Each criterion has a type: command (default, preferred) or rubric.
command — a deterministic command with an expected exit code/output: pytest -q exits 0; gh pr view N --json state -q .state prints MERGED; validate-doc-counts.py reports zero drifts. A criterion the model reasons about is not a criterion; each needs a command plus an expected observable.rubric — allowed only where no mechanical check exists, per the PHILOSOPHY.md verification ranking (exit code > fresh-context grader > self-critique). Store the rubric verbatim in the state file at SPEC time: pass conditions plus the evidence the grader must cite. Frozen once the loop starts — changes require the user, same as a guardrail.NOT-DONE-YET guardrails name what may never be done to satisfy a criterion (e.g. "never weaken a gate to make it pass"). They bind every iteration: inject them verbatim into each /do dispatch.
Gate: spec complete. Proceed to Phase 2.
Write .objective/<slug>/state.md from the template in references/state-file.md: objective, criteria table, guardrails, per-iteration log, next planned step.
.objective/ mirrors .feature/'s ephemerality but stays separate: .feature/ is feature-lifecycle's phase machine, managed only by feature-state.py, and its presence reroutes /do into feature phases. Objectives are arbitrary goals..objective/ unstaged; stage repo files by name only.Gate: state file written. Proceed to Phase 3.
Plan the smallest next step toward the unmet criteria, then route it through the /do phases: classify → route → dispatch agents → evaluate. The loop dispatches work exclusively through /do — catching yourself editing or analyzing inline means stop and route. Multi-part objectives may dispatch parallel agents per /do's rules.
Learning capture is automatic. Every iteration dispatches through /do, so routing rows and outcomes record via the /do learning hooks. Add no manual capture.
Gate: dispatch evaluated, iteration log updated in the state file. Proceed to Phase 4.
Run every done-criterion check. A worker's "criterion passes" claim never substitutes for the re-run.
command — run the command; paste the exit code and the decisive output line into the iteration log.rubric — dispatch a fresh-context sub-agent that did NOT produce the work. Input is the artifact plus the rubric, nothing else — no iteration history. It returns PASS/FAIL plus cited evidence (file:line or output excerpt), pasted into the iteration log exactly like an exit code.Then:
ScheduleWakeup.Criteria-gaming guard (hard rule). A criterion may never be satisfied by weakening a hook, gate, test, or safety control — and a rubric is never weakened to pass. When the only visible path to "pass" weakens a control or the rubric text, stop the loop and report the conflict to the user.
| State | Action |
|---|---|
| All criteria pass | Final report; stop — no wakeup call |
| Unmet + iterations remain | Update state file (log, next planned step); call ScheduleWakeup {delaySeconds, reason, prompt} with prompt = "Read .objective/<slug>/state.md, then resume the objective-loop skill from that state file." |
| Budget exhausted | Honest NOT-DONE report: per-criterion status with last evidence, remaining gaps, suggested next step; stop — no wakeup call |
Delay table (prompt-cache aware; ScheduleWakeup clamps 60–3600s):
| Wait type | Delay | Cache economics |
|---|---|---|
| Active polling (CI run, PR merge expected soon) | 270s or less | Keeps the Anthropic prompt cache warm (5-min TTL) |
| Idle / long agent work | 1200s+ | Pays one cache miss; right for long gaps |
| ~300s band | skip it | Worst case — pays the miss with none of the idle benefit |
Harness fallback. When ScheduleWakeup is absent from your tool list, run iterations sequentially in-session against the same state file and budgets. For a single until-condition wait inside an iteration, the Monitor tool fits; loop boundaries use ScheduleWakeup.
ScheduleWakeup: session-scoped, dies with the session, zero persistence.CronCreate or system crontab survives the session and requires the owner's explicit OWNER-APPROVED-PERSISTENCE phrase per the home CLAUDE.md. Stop and ask before any cron-mode loop; on approval, route to headless-cron-creator.| Error | Cause | Solution |
|---|---|---|
| State file missing on wakeup | .objective/<slug>/ removed mid-loop | Report and stop; ask the user to restate the objective rather than re-deriving it from memory |
| Criterion command fails to run (not just non-zero) | Tool missing, bad path | Fix the check command in the state file first; a broken check verifies nothing |
| Unmet-criteria set unchanged across 2 iterations (read from the Last result column, not judged from memory) | Plan stuck | Change approach: re-route through /do with a different agent or skill; unchanged after a third iteration, spend the report on what blocked progress and stop |
| Wakeup arrives with fresh context | Normal — wakeups carry only the prompt | Resume entirely from the state file per references/state-file.md |
| Signal | Load These Files | Why |
|---|---|---|
| Writing or resuming the state file | state-file.md | Template, slug rules, resume protocol |
${CLAUDE_SKILL_DIR}/references/state-file.md — state-file template, slug rules, and the wakeup resume protocol