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pull

pull is a command for Claude Code from ramonclaudio/skills. It costs 30 tokens per session (226 once invoked), scanned A, original, MIT.

A command for downloading or checking the three model files required by qmd, a local document-search system.

In plain words
What is it for?
Use it to pre-download the models, verify the cache, or refresh files that may have changed.
Why use it?
It prepares or repairs qmd's local models so searches can embed documents, expand queries, and rank results.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the qmd plugin — 2 skills, 18 commands, 1 MCP server shipped together

not rated 4repo 5mo ago A scan 30 tokens original MIT

Good fit Use it to pre-download the models, verify the cache, or refresh files that may have changed.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/ramonclaudio/skills/pull
View source ↗ ramonclaudio/skills
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.

Clone the repo
git clone --depth 1 https://github.com/ramonclaudio/skills

Made for: Claude Code.

Or install qmd, the plugin that ships this one along with the rest of its 2 skills, 18 commands, 1 MCP server.

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/commands/ramonclaudio/skills/pull/github.svg)](https://agentmods.dev/commands/ramonclaudio/skills/pull)
Your own site
<a href="https://agentmods.dev/commands/ramonclaudio/skills/pull"><img src="https://agentmods.dev/badge/commands/ramonclaudio/skills/pull/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 pull

Your own site · 80×15
<a href="https://agentmods.dev/commands/ramonclaudio/skills/pull"><img src="https://agentmods.dev/badge/commands/ramonclaudio/skills/pull.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 226 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 $0.00030 $0.00226
Opus 5.5 $0.00012 $0.00090
Sonnet 5.5 $0.00006 $0.00045
Haiku 4.5 $0.00003 $0.00023

Measured 2mo ago against content hash 0c6adb2df577, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

plugins/qmd/commands/pull.md · 16 lines

What it actually says

Run qmd pull $ARGUMENTS. Downloads (or verifies) the 3 models qmd needs into ${XDG_CACHE_HOME:-~/.cache}/qmd/models/:

  • embeddinggemma-300M-Q8_0.gguf (~300 MB) — vector embeddings
  • qmd-query-expansion-1.7B-q4_k_m.gguf (~1.1 GB) — query expansion (CLI plain-string path only)
  • qwen3-reranker-0.6b-q8_0.gguf (~640 MB) — cross-encoder reranking

--refresh re-checks the HuggingFace ETag and re-downloads if remote changed.

Models also auto-download on first use, so qmd pull is just for pre-warming or recovering from a corrupted cache.

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. 2mo ago First seen · 16 lines · 30 tokens per session scan A 0c6adb2df577

Subscribe to this mod's changes

pull is a command published in the GitHub repository ramonclaudio/skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 226 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 2026-08-31.

Data and AIRAG and vectors
Related

pull compared with commands from other repositories

pull next to 6 commands from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pullramonclaudio/skillsCommand45mo agoMITA30Claude Code
queryingupstash/redis-jsCommand983yesterdayMITA0Claude Code
ingestGalbaz1/video-research-mcpCommand236d agoMITA10Claude Code
agentget-convex/convex-agent-pluginsCommand11724d agoMITA21Claude Code, Cursor
proofragunshDee/proofragCommand2yesterdayMITA22Claude Code
inference.embedstratalab/strata-coreCommand51mo agoApache-2.0A0Claude Code
vector.batch_existsstratalab/strata-coreCommand51mo agoApache-2.0A0Claude Code