intake

intake is a skill for Claude Code, Codex from agno-agi/agno. It costs 14 tokens per session (424 once invoked), scanned A, original, Apache-2.0.

A backlog-intake skill that examines configured information sources and proposes evidence-backed tasks for existing or new projects.

In plain words
What is it for?
Use it to scan sources, identify actionable issues, and place reviewed proposals in a project's backlog.
Why use it?
It prevents unsupported or duplicate work proposals by requiring source evidence, content hashes, and stable identifiers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to scan sources, identify actionable issues, and place reviewed proposals in a project's backlog.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agno-agi/agno/intake
About the project

Agno is a framework and runtime for building, running, and managing platforms made of AI agents. Developers use its SDK, service runtime, and web interface to create agent applications with storage, integrations, APIs, and operational controls; the catalogue entries provide agent-oriented workflows and configuration for using Agno.

agno-agi/agno · 42,768 stars · on GitHub · docs.agno.com

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 agno-agi/agno --skill intake
Clone the repo
git clone --depth 1 https://github.com/agno-agi/agno

Made for: Claude Code, Codex.

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 intake

README.md
[![agentmods](https://agentmods.dev/badge/skills/agno-agi/agno/intake/github.svg)](https://agentmods.dev/skills/agno-agi/agno/intake)
Your own site
<a href="https://agentmods.dev/skills/agno-agi/agno/intake"><img src="https://agentmods.dev/badge/skills/agno-agi/agno/intake/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 intake

Your own site · 80×15
<a href="https://agentmods.dev/skills/agno-agi/agno/intake"><img src="https://agentmods.dev/badge/skills/agno-agi/agno/intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 424 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.
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 $0.00014 $0.00424
Opus 5.5 $0.00006 $0.00170
Sonnet 5.5 $0.00003 $0.00085
Haiku 4.5 $0.00001 $0.00042

Measured today against content hash a184b56fe5ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

intake 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 today.

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.

libs/agno/agno/company/skills/intake/SKILL.md · 34 lines

What it actually says

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_company_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_company_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_company_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_company_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.

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. today First seen · 34 lines · 14 tokens per session scan A a184b56fe5ce

Subscribe to this mod's changes

intake is a skill published in the GitHub repository agno-agi/agno (42,768 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 424 once invoked, about $0.0001 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 2026-10-17.

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