SkillPack packages AI skills and tools into runnable local agents that teams can operate in their own environment. Teams use it to keep data local while accessing agents through Slack or Telegram, and the catalogue add-ons are agents and skills built for its workflow.
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.
npx agentmods add skills/creminiai/skillpack/skill-creatornpx skills add CreminiAI/skillpack --skill skill-creatorgit clone --depth 1 https://github.com/CreminiAI/skillpackWrote 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.
[](https://agentmods.dev/skills/creminiai/skillpack/skill-creator)<a href="https://agentmods.dev/skills/creminiai/skillpack/skill-creator"><img src="https://agentmods.dev/badge/skills/creminiai/skillpack/skill-creator.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.00874 |
| Opus 5 | $0.00032 | $0.00437 |
| Sonnet 5 | $0.00013 | $0.00175 |
| Haiku 4.5 | $0.00006 | $0.00087 |
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Create new skills and iteratively improve them inside this SkillPack. Determine where the user is in the create → draft → test → improve cycle and help them move forward.
Pack-specific rules
All skills live under {{SKILLS_PATH}}/<skill-name>/SKILL.md and config is at {{PACK_CONFIG_PATH}}. These paths override any generic advice. Never create skills in the current workspace directory — always use {{SKILLS_PATH}}.
Creating a skill
Capture intent
Extract answers from the current conversation first, then fill gaps with targeted questions. Confirm before writing the first draft:
- What should this skill enable the model to do?
- When should this skill trigger?
- What output should it produce?
- Does the user want a lightweight draft, or a tested and iterated skill?
Clarify edge cases, input/output formats, success criteria, and dependencies as needed before writing test prompts.
Write the skill
Create the skill at {{SKILLS_PATH}}/<skill-name>/SKILL.md. Example template:
---
name: example-skill
description: "Analyze competitor pricing pages and generate a comparison matrix. Use when the user wants to benchmark pricing tiers, feature gaps, or positioning against specific competitors."
---
# Example Skill
## Workflow
1. Collect the target URLs from the user.
2. Extract pricing tiers, features, and limits from each page.
3. Generate a comparison matrix as a markdown table.
## Output
Return a markdown table with one column per competitor and one row per feature.
The description is the primary triggering mechanism — make it concrete with both what the skill does and when to use it. Keep the body focused on workflow, decisions, and output expectations. Place deterministic helpers under scripts/ and long reference material under references/.
Preserve the existing skill name when improving unless the user explicitly requests a rename.
Sync skillpack.json
After creating or updating a skill, sync {{PACK_CONFIG_PATH}}. Read the final SKILL.md, parse the YAML frontmatter, and upsert into the skills array:
What ships with it
17 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.
- agents/analyzer.md 10 KB
- agents/comparator.md 7.1 KB
- agents/grader.md 8.8 KB
- assets/eval_review.html 6.9 KB
- eval-viewer/generate_review.py 16 KB runs code
- eval-viewer/viewer.html 44 KB
- LICENSE.txt 11 KB
- references/schemas.md 12 KB
- scripts/__init__.py 0 B runs code
- scripts/aggregate_benchmark.py 14 KB runs code
- scripts/generate_report.py 13 KB runs code
- scripts/improve_description.py 11 KB runs code
- scripts/package_skill.py 4.1 KB runs code
- scripts/quick_validate.py 3.9 KB runs code
- scripts/run_eval.py 11 KB runs code
- scripts/run_loop.py 13 KB runs code
- scripts/utils.py 1.6 KB runs code
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.
- 6d ago First seen · 98 lines · 64 tokens per session scan A ffdb16295c32
skill-creator is a skill published in the GitHub repository CreminiAI/skillpack (1,197 stars, last pushed 24d ago), licensed MIT. It adds 64 tokens to every session and 874 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.
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new-topic-research
Use when a learner requests a library, framework, API, project, interview domain, or other topic whose reliable teaching assets are missing or may be version-sensitive.