Home / garrytan / gbrain · plugin-variants/gbrain-daily/skills/daily-task-manager/SKILL.md · GitHub

daily-task-manager skillA

daily-task-manager is agent-read markdown (skill) from garrytan/gbrain: Task lifecycle management with stable task IDs. Add, complete, defer, remove, and review tasks with deterministic action routing and fail-closed ambiguity handling. Maintains a running task list as a brain page..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 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
…

Read the whole file at its exact version.

How to install

Latest version
mdr add garrytan/gbrain/daily-task-manager@v2.0.0
Exact content
mdr add garrytan/gbrain/daily-task-manager@sha256:a0e019eb2b0c8aff

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_egf624dopypo4qv7.svg)](https://markdownregistry.com/a/art_egf624dopypo4qv7)

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Versions

versioncommittedcommitsizeaudit
v2.0.0 latest2026-08-17 489e277 8,342 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8342 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

garrytan/gbrain · 30,275 stars · license MIT · pushed 2026-09-23 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_egf624dopypo4qv7
GET https://markdownregistry.com/api/v1/resolve?ref=garrytan/gbrain/daily-task-manager
GET https://markdownregistry.com/api/v1/blob/a0e019eb2b0c8aff5bf97889f30a3f13e61c0052289a79d00effd7b84177f4b0

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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