A command for retrieving a task from a project backlog, which is the list of planned work, and adding context to it.

Use it to load a specified task or select the next priority task for further clarification or implementation.

It removes the need to search the backlog manually or decide what to work on next without guidance.

fetch-task — Command by windagency

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.

agentmods

npx agentmods add commands/windagency/valora.ai/fetch-task

Clone the repo

git clone --depth 1 https://github.com/windagency/valora.ai

Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 3,842 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin unknown 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.

Model	Per session	Once invoked
Fable 5	$0.00021	$0.03842
Opus 5	$0.00010	$0.01921
Sonnet 5	$0.00004	$0.00768
Haiku 4.5	$0.00002	$0.00384

Measured 2d ago against content hash a97e55248488, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fetch-task 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 2d 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.

packages/valora-plugin-product/commands/fetch-task.md · 647 lines

The source is not reproduced here

No licence file

Read it on GitHub

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.

2d ago First seen · 647 lines · 21 tokens per session scan A a97e55248488

Subscribe to this mod's changes

fetch-task is a command published in the GitHub repository windagency/valora.ai (24 stars, last pushed 9d ago), with no licence file. It adds 21 tokens to every session and 3,842 once invoked, about $0.0001 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.

Project management ai anthropic automation cli cursor google

fetch-task

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

The source is not reproduced here

No licence file

What this file has done since we first saw it

Other commands, from other repositories

work-issue

tasks

constitution

taskstoissues

pm-all

pm-done