Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/yunsii/wezdeck/task-ledgernpx skills add yunsii/wezdeck --skill task-ledgergit clone --depth 1 https://github.com/yunsii/wezdeckWrote 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/yunsii/wezdeck/task-ledger)<a href="https://agentmods.dev/skills/yunsii/wezdeck/task-ledger"><img src="https://agentmods.dev/badge/skills/yunsii/wezdeck/task-ledger.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00053 | $0.01998 |
| Opus 5 | $0.00026 | $0.00999 |
| Sonnet 5 | $0.00011 | $0.00400 |
| Haiku 4.5 | $0.00005 | $0.00200 |
Grade A, and why
task-ledger 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development task ledger (Feishu Base)
Hard rules
- Development tasks must target an allowlisted root for the active
agent (see Path guard /
tasks-allowlist.json). main → wezdeck|team-repo; pm → FE1 (ops). Do not hard-code another machine's/home/...in commits. - If the user asks for another repo: do not
opena ledger row as accepted work; refuse and explain allowlist policy. - When accepted, time loop must close:
open→ (user confirms plan/初评/开发方式) →confirmif--confirm-required 1→ work →closeclose --status donefails if still 需确认 and neverconfirmedcancelled/blocked/failedmay close without confirm
- Never write secrets into the ledger.
- Final reply must include
task_id. - If CLI fails, say so; do not invent
task_id. - When the request has a clear 需求提出人 (product / user who asked):
record them on open/update with
--requester-id <ou_…>(preferred). Feishu person field name: 需求提出人. Do not leave it blank when known. - Order with worktree:
openfirst; after claw worktree exists,updatecwd/分支; after user confirms 初评+开发方式,confirm; then implement. - Pure Q&A: do not open a row. As soon as the user accepts implementation, open before assess/create (same turn is OK if open is first).
- Test hygiene: after every smoke / CLI self-test that
opens a row,deletethat row (and local index entry). Do not leavesmoke/time-loop/*-testrows in the production Base table. Softcloseis not enough for pure tests — use harddelete.
Path guard
- Config file (authoritative):
~/.openclaw/tasks-allowlist.json(fromopenclaw/config/tasks-allowlist.json.example). - Resolver:
openclaw/scripts/tasks-allowlist.py(show/check/roots). - Agent:
OPENCLAW_TASKS_AGENTor defaultmain(paths come from config, not env). - CLI allowlists local
--cwd/ path-form--repoonly (not remote URLs). - Base field
仓库= https web URL (clickable in Feishu);cwd= local path. CLI rewritesgit@…/ssh://…/….git→https://host/org/repo.
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.
- 3d ago First seen · 146 lines · 53 tokens per session scan A 2de85021d824
task-ledger is a skill published in the GitHub repository yunsii/wezdeck (5 stars, last pushed 7d ago), licensed MIT. It adds 53 tokens to every session and 1,998 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 2026-08-31.
Other skills, from other repositories
workflow
Create, run, monitor, cancel, or resume deterministic JavaScript workflows that orchestrate multiple Codex, Claude, Cursor, or Kimi agents. Use for parallel investigation or review, staged agent pipelines, resumable long-running work, or when the user explicitly asks for a workflow, orchestration, fan-out, or several…
orchestrate
Use only when the user explicitly types /orchestrate:orchestrate to decompose a large task, spawn a tree of parallel worker/subplanner/verifier subagents, and collect structured handoffs. Do not invoke autonomously.
launch
Launch and automate VS Code (Code OSS) using agent-browser via Chrome DevTools Protocol. Use when you need to interact with the VS Code UI, automate the chat panel, test UI features, or take screenshots of VS Code. Triggers include 'automate VS Code', 'interact with chat', 'test the UI', 'take a screenshot', 'launch…
accessibility
Primary accessibility skill for VS Code. REQUIRED for new feature and contribution work, and also applies to updates of existing UI. Covers accessibility help dialogs, accessible views, verbosity settings, signals, ARIA announcements, keyboard navigation, and ARIA labels/roles.
sessions
Agent Sessions window architecture — covers the sessions-first app, layering, folder structure, chat widget, menus, contributions, entry points, and development guidelines. Use when implementing features or fixing issues in the Agent Sessions window.
component-fixtures
Use when creating or updating component fixtures for screenshot testing, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, and common pitfalls.