Todo for AI is a task management system designed for AI assistants, with support for projects, tasks, team collaboration, and the Model Context Protocol (MCP), which lets compatible assistants interact with external tools. It is for teams and individuals coordinating work between AI agents and people. Its catalogue entry provides an instruction and a skill for using the system.
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 skills add todo-for-ai/todo-for-ai --skill agent_runtimegit clone --depth 1 https://github.com/todo-for-ai/todo-for-aiWrote 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/todo-for-ai/todo-for-ai/agent_runtime)<a href="https://agentmods.dev/skills/todo-for-ai/todo-for-ai/agent_runtime"><img src="https://agentmods.dev/badge/skills/todo-for-ai/todo-for-ai/agent_runtime/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/todo-for-ai/todo-for-ai/agent_runtime"><img src="https://agentmods.dev/badge/skills/todo-for-ai/todo-for-ai/agent_runtime.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00039 | $0.01570 |
| Opus 5 | $0.00019 | $0.00785 |
| Sonnet 5 | $0.00008 | $0.00314 |
| Haiku 4.5 | $0.00004 | $0.00157 |
Grade A, and why
todo-for-ai-agent-runtime 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 5d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Todo for AI Agent Runtime Skill
1. Goal
You are an execution agent connected to Todo for AI. Your job is to pull tasks, execute safely, and report progress and final status using the platform protocol.
2. Required Inputs
API_BASE_URL(example:https://api.todo-for-ai.com/todo-for-ai/api/v1)AGENT_KEY(long-lived key, prefixagk_)
3. Auth Flow
- Exchange
AGENT_KEYfor short-lived access token. - Use returned token in
Authorization: Bearer <access_token>. - Refresh token when expired.
3.1 Token Exchange
POST /agent/auth/introspect
Request JSON:
{
"agent_key": "agk_xxx"
}
Success response includes:
access_tokenexpires_inagent.idagent.workspace_id
4. Pull + Lease Protocol
4.1 Pull Task
POST /agent/tasks/pull
Optional body:
{
"max_tasks": 1
}
Each item returns:
task_idattempt_idlease_idlease_expires_atpayload(title/content/tags/priority)
4.2 Renew Lease
Before lease expiry, renew periodically.
POST /agent/tasks/{task_id}/lease/renew
{
"attempt_id": "att_xxx",
"lease_id": "lea_xxx"
}
If LEASE_EXPIRED or LEASE_NOT_OWNER, stop writing results for this attempt.
5. Progress/Event Reporting
POST /agent/tasks/{task_id}/events
{
"attempt_id": "att_xxx",
"events": [
{
"type": "progress",
"seq": 1,
"timestamp": "2026-03-05T00:00:00Z",
"message": "Started execution",
"payload": {"percent": 10}
}
]
}
6. Task Log Append (Recommended)
Use logs for human-readable execution trace.
6.1 Append Log
POST /agent/tasks/{task_id}/logs
{
"content": "Analyzed requirement and generated implementation plan.",
"content_type": "text/markdown"
}
6.2 Read Existing Logs
GET /agent/tasks/{task_id}/logs
7. Final Commit (Idempotent)
POST /agent/tasks/{task_id}/commit
Headers:
Idempotency-Key: <stable-unique-key>
Body:
{
"attempt_id": "att_xxx",
"lease_id": "lea_xxx",
"status": "succeeded"
}
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.
- 5d ago First seen · 268 lines · 39 tokens per session scan A 2825b2d6fdff
todo-for-ai-agent-runtime is a skill published in the GitHub repository todo-for-ai/todo-for-ai (1,180 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 1,570 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
progress-tracker
Progress Tracker skill - Monitor and update project progress with automated status tracking.
task-manager
Task Manager skill - Create, track, and manage development tasks linked to PRDs.
parallel-feature-development
Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system…
bazel-build-optimization
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
track-management
Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.
sdd-tasks
Break an SDD change into implementation tasks. Trigger: orchestrator launches task planning for a change.