daily-task-manager

daily-task-manager is a skill for Claude Code from garrytan/gbrain. It costs 46 tokens per session (2,181 once invoked), scanned A, original, MIT.

A task list manager that gives each task a stable identifier and tracks its progress. It stores the list as a structured page and supports priorities from urgent work to backlog items.

In plain words
What is it for?
Use it to add, start, complete, postpone, remove, or review tasks, including their priorities, due dates, and current status.
Why use it?
It prevents task updates from losing unrelated items or becoming unclear when a request could match more than one task. Completed and postponed work remains recorded with dates and reasons.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter. Also seen: mentions subagents; built for gbrain.

Part of the gbrain-daily plugin — 15 skills shipped together

Good fit Use it to add, start, complete, postpone, remove, or review tasks, including their priorities, due dates, and current status.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/garrytan/gbrain/daily-task-manager
About the project

GBrain is a memory and retrieval layer for AI agents that searches, connects, and synthesizes information from stored sources. It is used to give coding agents and autonomous agents access to knowledge beyond their current code, including shared company information with access controls. The catalogue add-ons help agents operate GBrain and connect it to agent workflows.

garrytan/gbrain · 31,098 stars · on GitHub

Install

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.

Any agent
npx skills add garrytan/gbrain --skill daily-task-manager
Clone the repo
git clone --depth 1 https://github.com/garrytan/gbrain

Made for: Claude Code.

Or install gbrain-daily, the plugin that ships this one along with the rest of its 15 skills.

Wrote 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.

agentmods badge for daily-task-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/garrytan/gbrain/daily-task-manager/github.svg)](https://agentmods.dev/skills/garrytan/gbrain/daily-task-manager)
Your own site
<a href="https://agentmods.dev/skills/garrytan/gbrain/daily-task-manager"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/daily-task-manager/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.

agentmods 80×15 button for daily-task-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/garrytan/gbrain/daily-task-manager"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/daily-task-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,181 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.02181
Opus 5.5 $0.00018 $0.00872
Sonnet 5.5 $0.00009 $0.00436
Haiku 4.5 $0.00005 $0.00218

Measured 16d ago against content hash f77c08ae1f40, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

daily-task-manager 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 16d 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.

plugin-variants/gbrain-daily/skills/daily-task-manager/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Daily Task Manager

Contract

This skill guarantees:

  • Tasks stored as a brain page (ops/tasks.md) with structured format and a stable id per task
  • Task lifecycle: add → in-progress → complete | defer | remove
  • Priority levels: P0 (urgent), P1 (today), P2 (this week), P3 (backlog)
  • Completed tasks archived with completion date; deferred tasks carry a target date + reason
  • Mutations never drop unrelated tasks or unknown sections
  • Every action returns the structured result below (Returns)

Returns

After every action, report a structured result so callers (including sub-agents) can chain reliably:

{action, task_id, status: ok|not_found|ambiguous|needs_confirmation, priority, date, page: "ops/tasks.md", saved: true|false}

For review, return the grouped active-task list instead of a single task_id. When invoked with the trigger "task list json", return a JSON array of task objects {id, description, priority, due, status} instead of markdown.

Tool Interface

Use ONLY the declared tools. get_page("ops/tasks.md") to read, put_page("ops/tasks.md", …) to write, add_timeline_entry for the audit trail, search for cross-referencing. Do not shell out to gbrain CLI verbs from this skill; the tools are the interface. (When the user runs this manually outside an agent, the CLI equivalents are gbrain get ops/tasks / gbrain put ops/tasks — equivalents only, not the skill's interface.)

Action Routing

Map user intent deterministically before touching state:

  • "add / remind me to / put X on my list" → add
  • "done with X / finished X / completed X / ✅ X" → complete
  • "push X / defer X / move X to next week" → defer
  • "delete X / remove X / kill task X" → remove (explicit delete words only — never infer remove)
  • "what are my tasks / task list / what's on my plate (today)" → review ("today" filters to P0+P1)

Phases

  1. Load. get_page("ops/tasks.md"). First run: if the page does not exist, create it from the Output Format template, then proceed.
  2. Validate. Determine the action via Action Routing. If required fields are missing (see per-action rules), ask ONE concise clarification before mutating state. Never fabricate priorities, due dates, or defer reasons.
  3. Identify the target task (complete/defer/remove): match by id when given; otherwise fuzzy-match description against ACTIVE tasks only. Zero matches → return not_found, do not mutate. Multiple matches → list candidates with IDs, return ambiguous, do not mutate.
  4. Execute:
    • Add: Require a description. Priority: use the user's stated/clearly-implied level; otherwise default to P3 and say so in the reply + timeline entry. Due date only if supplied or explicit in the user's words. Mint a new task ID (t-YYYYMMDD-NN, NN = next free ordinal that day). Add a timeline entry.
    • Complete: Mark [x], move to Completed with (completed: YYYY-MM-DD).
    • Defer: Require a target date/timeframe AND a reason; ask if missing. Move to Deferred preserving original text, ID, and priority unless the user changes them.
    • Remove: Destructive — require explicit confirmation unless the user's message already contains it. Prefer suggesting complete or defer.
    • Review: Read-only. Never mutates. Active tasks grouped by priority, IDs shown.
  5. Save. put_page("ops/tasks.md") after any mutation. Diff-mindset: touch only the affected lines; preserve all other content, including sections this skill doesn't recognize.

Read the full file on GitHub · 142 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 16d ago Changed f77c08ae1f40
  2. 17d ago Changed · +1 lines 89b54d11aabe
  3. 19d ago Changed · +8 lines cbec93c0d908
  4. 1mo ago First seen · 133 lines · 46 tokens per session scan A a0e019eb2b0c

Subscribe to this mod's changes

daily-task-manager is a skill published in the GitHub repository garrytan/gbrain (31,098 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 2,181 once invoked, about $0.0002 per session on Opus 5.5. 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.

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