conda-forge

conda-forge is a skill for Claude Code, Codex from pavelzw/skill-forge. It costs 87 tokens per session (2,154 once invoked), scanned A, original, BSD-3-Clause.

A toolkit for maintaining conda-forge packages. conda-forge is a community collection of installable software packages for the Conda environment manager.

In plain words
What is it for?
Use it to create new feedstocks, repair conda-forge build failures, add native ARM or cross-compilation support, and migrate recipes from version 0 to version 1.
Why use it?
It provides a defined process for creating package recipes, fixing failed builds, adding ARM support, and updating recipe formats.

Skill for Claude CodeCodex

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

Good fit Use it to create new feedstocks, repair conda-forge build failures, add native ARM or cross-compilation support, and migrate recipes from version 0 to version 1.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pavelzw/skill-forge/conda-forge
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 pavelzw/skill-forge --skill conda-forge
Clone the repo
git clone --depth 1 https://github.com/pavelzw/skill-forge

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 conda-forge

README.md
[![agentmods](https://agentmods.dev/badge/skills/pavelzw/skill-forge/conda-forge.svg)](https://agentmods.dev/skills/pavelzw/skill-forge/conda-forge)
Your own site
<a href="https://agentmods.dev/skills/pavelzw/skill-forge/conda-forge"><img src="https://agentmods.dev/badge/skills/pavelzw/skill-forge/conda-forge.svg" alt="Measured on agentmods" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,154 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Supply Chain · line 36
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Tool Misuse · line 84
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Tool Misuse · line 85
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Tool Misuse · line 128
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
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 $0.00087 $0.02154
Opus 5 $0.00044 $0.01077
Sonnet 5 $0.00017 $0.00431
Haiku 4.5 $0.00009 $0.00215

Measured 8d ago against content hash 11f871058011, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

conda-forge scanned grade A with 1 finding 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 8d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Requires gh (GitHub CLI), git, curl, jq, tar, and pixi with
recipes/conda-forge/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conda-Forge Skill

First, determine the workflow by checking the current working directory:

  • staged-recipes repo → you are creating a new feedstock
  • <name>-feedstock repo → you are updating an existing feedstock

Staged Recipes: Creating New Feedstocks

New packages are submitted via staged-recipes. After merge, conda-forge auto-creates a dedicated feedstock.

Fork and branch:

gh repo fork conda-forge/staged-recipes --clone=true
cd staged-recipes
git switch -c <PACKAGE_NAME>

Generate a recipe for Python packages with pixi exec grayskull pypi --use-v1-format --strict-conda-forge <PACKAGE_NAME>. Since grayskull creates the my-package/recipe.yaml in the CWD, run this command in the recipes/ directory of your staged-recipes fork.

For Go or Rust, adapt the templates from example-recipe-go.md or example-recipe-rust.md. See also example-recipe-python.md.

Place the recipe in recipes/<PACKAGE_NAME>/recipe.yaml.

Recipe rules:

  • Use source tarballs with SHA256 checksums (compute with curl -Ls "<URL>" | sha256sum -)
  • Use SPDX license identifiers and include license_file
  • Tests are mandatory (at minimum: import test for Python, --help for CLI)
  • All dependencies must already exist on conda-forge
  • Remove any template/placeholder comments

Test locally:

rattler-build build -r recipes/<PACKAGE_NAME> -m .ci_support/<VARIANT>.yaml

For noarch: python packages, provide a python_min variant override since staged-recipes doesn't define it:

rattler-build build -r recipes/<PACKAGE_NAME> -m .ci_support/<VARIANT>.yaml --variant python_min=3.10

Submit a draft PR, always use the PR template for the description. When the conda package ships static libraries (go, rust), don't check that box in the PR template. Watch CI until green. Don't mark as ready for review — let the human do that. To skip a platform, add skip: win in the build section.

Read the full file on GitHub · 172 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 172 lines · 87 tokens per session scan A 11f871058011

Subscribe to this mod's changes

conda-forge is a skill published in the GitHub repository pavelzw/skill-forge (24 stars, last pushed yesterday), licensed BSD-3-Clause. It adds 87 tokens to every session and 2,154 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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