skill-creator

A guide for creating and improving reusable instruction packages called skills for Anda Bot. Each skill is a folder with a SKILL.md file and may include supporting materials.

In plain words
What is it for?
Use it to create a new skill, revise an existing one, convert a skill from another agent system, or improve its trigger description. It can also help write tests, run evaluations when available, and package the result.
Why use it?
Writing instructions that reliably trigger and guide an AI assistant takes more than drafting a few rules. This guide provides a process for creating, testing, evaluating, and packaging skills.

Skill for Claude CodeCodex

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/ldclabs/anda-bot/skill-creator
Any agent
npx skills add ldclabs/anda-bot --skill skill-creator
Clone the repo
git clone --depth 1 https://github.com/ldclabs/anda-bot

Made for: Claude Code, Codex.

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,105 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 $0.00069 $0.03105
Opus 5 $0.00034 $0.01553
Sonnet 5 $0.00014 $0.00621
Haiku 4.5 $0.00007 $0.00311

Measured 2d ago against content hash 6d33597482f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-creator 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.

The scan reads SKILL.md. This mod also ships 10 executable files (eval-viewer/generate_review.py, scripts/__init__.py, scripts/aggregate_benchmark.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/skill-creator/SKILL.md · 421 lines

How it starts

The opening of the file, as written. The whole thing — 421 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Creator

This skill helps create and improve Anda Bot runtime skills. Anda Bot loads skills from ~/.anda/skills or other configured skill directories. Each skill is a directory containing SKILL.md and optional bundled resources.

Use this skill to:

  • Create a new skill from a workflow the user describes.
  • Update an existing skill while preserving its name and contract.
  • Convert a skill written for another agent runtime into an Anda Bot skill.
  • Create behavior test prompts and trigger evals.
  • Run evals through anda agent run when a configured Anda runtime is available.
  • Package a finished skill for installation.

Core Loop

At a high level:

  1. Understand what the skill should help Anda Bot do.
  2. Draft or revise SKILL.md.
  3. Create a few realistic test prompts.
  4. Run the prompts with the skill and compare against a baseline when useful.
  5. Review qualitative outputs and quantitative checks with the user.
  6. Improve the skill based on evidence.
  7. Repeat until the skill is useful and not overfit.
  8. Optionally optimize the frontmatter description and package the skill.

Be flexible. If the user explicitly wants a quick edit without evals, make the edit and run lightweight validation instead of forcing the full loop.

Communicating With The User

Adjust terminology to the user's familiarity. "Eval" and "benchmark" are fine for technical users, but briefly explain them for users who may not use those terms. Avoid making skill creation sound harder than it is: the core file is a Markdown instruction file plus optional helper files.

Creating Or Updating A Skill

Capture Intent

Extract intent from the current conversation first. If the user says "turn this workflow into a skill", identify the sequence of steps, tools used, corrections the user made, input formats, output formats, and success criteria.

Answer these questions before drafting:

  1. What should this skill enable Anda Bot to do?
  2. When should the skill trigger? Include user phrases, file types, task types, and near-misses where it should not trigger.
  3. What should the output look like?
  4. What tools, local files, scripts, APIs, or external programs does it need?
  5. Should test cases be created now?

Read the full file on GitHub · 421 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 · 421 lines · 69 tokens per session scan A 6d33597482f2

Subscribe to this mod's changes

skill-creator is a skill published in the GitHub repository ldclabs/anda-bot (23 stars, last pushed 25d ago), licensed Apache-2.0. It adds 69 tokens to every session and 3,105 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 2026-08-30.