skill-up is a tool for evaluating and improving Agent Skills through declarative test cases, multiple agent engines, configurable judges, and structured reports. Developers and agent builders use it locally or in continuous integration to measure skill quality and iterate on failures. The catalogue entries are skills and instructions that can be evaluated or evolved with it.
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 skills add alibaba/skill-up --skill code-statsgit clone --depth 1 https://github.com/alibaba/skill-upWrote 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/alibaba/skill-up/code-stats)<a href="https://agentmods.dev/skills/alibaba/skill-up/code-stats"><img src="https://agentmods.dev/badge/skills/alibaba/skill-up/code-stats/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.
<a href="https://agentmods.dev/skills/alibaba/skill-up/code-stats"><img src="https://agentmods.dev/badge/skills/alibaba/skill-up/code-stats.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00094 | $0.00527 |
| Opus 5.5 | $0.00038 | $0.00211 |
| Sonnet 5.5 | $0.00019 | $0.00105 |
| Haiku 4.5 | $0.00009 | $0.00053 |
Grade A, and why
code-stats 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 18d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- code-stats — 88% identical, 16 lines differ
What it actually says
Code Stats Skill
Analyzes code files and generates statistics about a codebase.
Usage
When invoked, this skill will:
- Scan the specified directory (defaults to current directory)
- Exclude
node_modules/,.git/,dist/, andbuild/unless the user explicitly asks to count them. These are dependencies, repository metadata, or generated output rather than project source.
- Exclude
- Count total lines, files by extension
- Report the largest files
- Output results in a structured format
- Sort extension summaries by total line count in descending order
Output Format
Always use this exact format for the output:
# Code Statistics
## Summary
- Total Files: <count>
- Total Lines: <count>
- Total Size: <size_bytes> bytes
## Files by Extension
| Extension | Files | Lines |
|-----------|-------|-------|
| .go | 12 | 1500 |
| .md | 5 | 200 |
## Top 5 File Extensions by Line Count
1. .go — 1500 lines
2. .md — 200 lines
## Largest Files (top 5)
1. main.go (500 lines)
2. util.go (300 lines)
If a file has no extension, group it under (no ext) in both extension sections.
Process
- Use
Bashwithfindto locate project files, pruning the excluded directories - Use
Bashwithwc -lto count lines per file - Group files with no extension under
(no ext) - Sort both extension summaries by total line count in descending order
- Aggregate the results into the output format above
- If no directory is specified, analyze the current working directory
Examples
- "Analyze the current directory"
- "Run code-stats on ./src"
- "Show me file type distribution"
- "How many lines of Python do we have?"
What ships with it
11 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.
- evals/cases/analyze-directory.yaml 1.5 KB
- evals/cases/current-directory-format.yaml 841 B
- evals/cases/exclude-dependencies.yaml 1.0 KB
- evals/cases/top-extensions.yaml 687 B
- evals/eval.yaml 821 B
- evals/evals.json 1.8 KB
- evals/fixtures/repos/sample-project/main.go 143 B
- evals/fixtures/repos/sample-project/README.md 73 B
- evals/fixtures/repos/sample-project/util.go 134 B
- evals/fixtures/scripts/check-stats.sh 1.9 KB runs code
- README.md 4.6 KB
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.
- 18d ago Changed · +1 lines 331d0557e923
- 1mo ago First seen · 64 lines · 94 tokens per session scan A 849c9c832977
code-stats is a skill published in the GitHub repository alibaba/skill-up (1,222 stars, last pushed yesterday), licensed Apache-2.0. It adds 94 tokens to every session and 527 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
claude-md-improver
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and…
glance-canonical-layouts
Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).