pull

pull is a skill for Claude Code from Snowflake-Labs/cocoplus. It costs 52 tokens per session (2,709 once invoked), scanned A, original, MIT.

A tool that condenses large files into smaller Markdown artifacts while preserving information needed for decisions. It can produce a machine-focused version or a prose version for people.

In plain words
What is it for?
Use it on Markdown, JSON, SQL, or text files and directories, optionally checking whether the condensed output can be reconstructed.
Why use it?
It reduces the amount of context an agent must process when files such as schema dumps, SQL results, or evaluation data are large.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents.

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 skills/snowflake-labs/cocoplus/pull
Any agent
npx skills add Snowflake-Labs/cocoplus --skill pull
Clone the repo
git clone --depth 1 https://github.com/Snowflake-Labs/cocoplus

Made for: Claude Code.

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 pull

README.md
[![agentmods](https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/pull.svg)](https://agentmods.dev/skills/snowflake-labs/cocoplus/pull)
Your own site
<a href="https://agentmods.dev/skills/snowflake-labs/cocoplus/pull"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/pull.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,709 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00052 $0.02709
Opus 5 $0.00026 $0.01354
Sonnet 5 $0.00010 $0.00542
Haiku 4.5 $0.00005 $0.00271

Measured 2d ago against content hash e0a7a7c26708, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

pull 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.

.cortex/skills/cocopull/pull.skill.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

$pull

Distill a file or directory of files into a pull artifact (.pull.md) that preserves all decision-relevant information while reducing token consumption. CocoHarvest uses pull files automatically when stage inputs exceed the configured token threshold.

Preconditions

  • .cocoplus/ must be initialized (run $pod init first)
  • <target> file or directory must exist

Arguments

Argument Description
<target> (required) File path or directory to distill. Eligible: .md, .json, .sql, .txt
--validate (optional) Run round-trip reconstruction test after distillation
--human (optional) Produce human-readable narrative summary instead of LLM-dense pull file

Two output modes:

  • Default (no flag): Produce <target>.pull.md — machine-dense, LLM-optimized, verbatim decision values. Used automatically by CocoHarvest.
  • --human: Produce <target>.pull-human.md — prose narrative for stakeholder consumption. Not used by CocoHarvest. Never overwrites the .pull.md machine output.

Step-by-Step Behavior

$pull <target> --human

  1. Verify initialization and target (same as default mode steps 1–2).

  2. Spawn Sonnet narrative subagent: Reads <target> and produces a prose summary optimized for a non-technical stakeholder audience. Rules:

    • Lead with the most important conclusion or finding (inverted pyramid)
    • Use plain language — no SQL, no JSON field names unless unavoidable
    • Express numeric values in context: not "0.88" but "88% accuracy — above the 85% threshold set in discuss.md"
    • Maximum 500 words unless source content genuinely requires more
    • Do not include raw tables — translate to sentences or brief bullets
  3. Write output to <target>.pull-human.md. Include header:

    ---
    pull_source: [source file path]
    pull_timestamp: [ISO8601]
    pull_mode: human
    audience: stakeholder
    ---
    
  4. Do NOT update .cocoplus/pull/manifest.json for human-mode output — human pull files are not CocoHarvest artifacts.

Read the full file on GitHub · 227 lines

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. 2d ago First seen · 227 lines · 52 tokens per session scan A e0a7a7c26708

Subscribe to this mod's changes

pull is a skill published in the GitHub repository Snowflake-Labs/cocoplus (720 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 2,709 once invoked, about $0.0003 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.

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