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intake

Reviews configured sources and proposes actionable backlog tasks tied to a suitable project. Each proposal cites inspected evidence and its observed content hash, while stable keys prevent duplicate proposals across later scans.

OriginalShow the original description

Inspect configured Sources and propose evidence-backed Backlog work.

Run score Not tested

See how to install

Good for

  • Finding actionable work in a product’s configured sources
  • Proposing evidence-backed backlog tasks
  • Checking sources again after their content changes

Overview

What it does

The intake skill reviews a product’s configured sources and proposes actionable work based on evidence it has inspected. It first checks the product’s projects and existing tasks, then selects a suitable project for each proposal. It narrows the source list, reads relevant documents, and includes a concise title, brief, evidence links, and observed content hashes. A stable key for each underlying issue helps prevent duplicate proposals across later scans. If evidence changes, the skill rereads the source and reassesses the proposal. It does not propose work when it cannot read the evidence.

Proposals remain in the backlog for human review. The skill does not accept or complete them.

When it helps

Use it to find actionable items buried in product sources and organize them as backlog proposals with checkable evidence. It can also help assess whether a document actually supports useful work, rather than creating a task just because a file was read.

Example requests

  • “Review this product’s sources and propose evidence-backed backlog work.”
  • “Inspect the new source and suggest work that does not duplicate existing tasks.”

Notes

Every task must belong to a project. If no suitable project exists, the skill proposes creating one first. Proposals are not automatically approved; source evidence must be inspected, and a person must approve the work.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
AGoodProposals stay in Backlog; the skill must never accept or complete work.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodNo API keys, external services, or installation steps are specified.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 25, 2026. Treat it as a guide and read the original before installing.

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Files included (1)

  • SKILL.md2.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Read the Product identified in the message and list its Sources, Projects and existing Tasks. Every Task must belong to a Project. Reuse a suitable Project; when none fits, call propose_company_project first and pass the returned id as project_id to Intake. Use read_product_source to inspect evidence, then decide whether it supports actionable work. Reading or changing a file alone is not a reason for a Task. For each useful proposal, call intake_product_source with a concise title and brief, the selected evidence_links and their observed content_hash values in evidence_hashes (a mapping from link to hash), and a stable Source-local proposal_key for the underlying issue. Reuse that key across scans, file edits and wording changes. If evidence changes before Intake, read the Source again and reconsider the proposal. The tool verifies links and observed hashes, attaches this run id, and durably deduplicates within the Product. Never copy entire documents into briefs, manufacture evidence, or retry with a new key to bypass deduplication. A failed read must not produce a proposal. Existing and completed Tasks remain unchanged. Proposals stay in Backlog; never accept or complete work. If all evidence is already recorded, return a quiet successful check.

For each Source, call read_product_source without path for a paged, content-free index. Use pattern and next_offset to narrow discovery. Pass a returned path to read one document; next_content_offset continues large documents. Compare the full-document content_hash across fragments and reread if it changes. Never infer content from an index entry. Use intake_product_source for Task proposals; propose_company_task is unavailable to Routines.

When proposing work, name the proposed executor and required Project through the Intake tool. If auto_accept metadata names an executor, it is a suggested target, not permission to accept work. The server checks the current human authorization and its bounds separately; proposals remain Backlog until that check succeeds.

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