Borrowing it
Nothing to install: this file belongs to Peiiii/nextclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Peiiii/nextclaw/master/.agents/skills/delivering-delegated-linear-issues/SKILL.mdgit clone --depth 1 https://github.com/Peiiii/nextclawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/peiiii/nextclaw/delivering-delegated-linear-issues)<a href="https://agentmods.dev/skills/peiiii/nextclaw/delivering-delegated-linear-issues"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/delivering-delegated-linear-issues/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/peiiii/nextclaw/delivering-delegated-linear-issues"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/delivering-delegated-linear-issues.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.00428 |
| Opus 5 | $0.00029 | $0.00214 |
| Sonnet 5 | $0.00012 | $0.00086 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
delivering-delegated-linear-issues scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Linear 委派交付
阶段路由
- 判断标签、状态、队列、定时会话归属：读取 状态与队列。
- 领取前调查、Run ID、幂等与竞争：读取 领取合同。
- 隔离开发、ready PR 或本地 master：读取 交付路径。
- Delivered/Blocked、评论、恢复异常：读取 收尾与恢复。
一次只读取当前阶段；进入实现后遵循项目标准开发合同，不重新加载上游 lifecycle，也不在本 skill 复制开发规范。
永久合同
Delegated to Agent和Delivery: Local Master是用户标签，Agent 永不自动添加或删除。Agent: Queued/Claimed/Blocked/Delivered是互斥持久状态，Agent 第一次写入后只能完整替换，不清空，也不覆盖其它标签。- 指定 issue 的用户指令可替代 Delegated 授权；默认交付本地 master，只有明确 PR/禁止本地合并说明才走 ready PR。
- 所有模式都不授权 release、deploy、migration、生产配置/数据或其它不可逆外部动作。
- 每个 issue 独立 worktree/分支；保护用户 WIP，不 stash/reset/force，不因 master dirty 自动放弃隔离开发。
- 第一版队列串行，不宣称多执行者原子租约。
最终状态为 In Review + Agent: Delivered 或 Todo + Agent: Blocked，永不自动 Done。
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 27 lines · 58 tokens per session scan A 5346665317d7
delivering-delegated-linear-issues is a skill published in the GitHub repository Peiiii/nextclaw (256 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 428 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
status-report
Use when the user asks for a weekly / monthly status report, project update, individual or team progress summary. Produces a tight, scannable update with what shipped, what's in flight, what's blocked, and metrics.
openclaw-github-dedupe
Investigate a cluster of GitHub issues and PRs, determine canonical candidates, post duplicate/related status, preserve contributor credit, and execute cleanup actions. Supports autonomous mode for provided-link-only closeout, merge/fix follow-through, changelog, and post-merge issue/PR cleanup.
tmux-lane-orchestrator
Manage one tmux agent lane from its matching ops pane, inspect live pane state and Codex logs on cold start, and produce concise manager summaries for OpenClaw and adjacent project work.
ghcrawl-cluster-operator
Use when inspecting a ghcrawl SQLite store, pulling GitHub issue/PR data, refreshing summaries, embeddings, and clusters, or extracting one cluster and its evidence through the ghcrawl CLI.
opik-optimizer
Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.
crabpot-perf-metrics
Interpret Crabpot and OpenClaw performance dashboard metrics, import-loop profiles, runtime profiles, and branch-to-branch perf deltas without over-reading noisy samples.