ccskill

A command that reports recorded usage statistics for skills in a Claude Code setup. It shows call counts, first and latest use, and the number of projects using each skill.

In plain words
What is it for?
Use it when you want a ranking of skill usage across the available history, or details filtered by project, time period, or day.
Why use it?
It helps you see which skills are used often and which may no longer be useful, without manually reviewing session records.

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/zane456/cc-session-memory/ccskill
Any agent
npx skills add Zane456/cc-session-memory --skill ccskill
Clone the repo
git clone --depth 1 https://github.com/Zane456/cc-session-memory

Made for: Claude Code, Codex.

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 347 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 $0.00089 $0.00347
Opus 5 $0.00044 $0.00173
Sonnet 5 $0.00018 $0.00069
Haiku 4.5 $0.00009 $0.00035

Measured yesterday against content hash a1c61df1f490, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ccskill 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 yesterday.

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/ccskill/SKILL.md · 30 lines

What it actually says

/ccskill — skill 使用统计(单命令)

数据源:<cc-session-memory>/memories/skill_usage.jsonl,cc-session-memory 的 Stop hook 每轮自动记录,长期累积,不受 CC 30 天 transcript 清理影响。

行为(固定,无参数分支)

跑这一条命令,把输出整理给用户:

python3 "<CC_MEMORY_REPO>/memory_system/cli/ccmem.py" skill-stats

输出即全部记录时间范围的排行:skill / 次数 / 首次 / 最近 / 项目数(已自动过滤 /clear 等 CC 内置命令)。

输出要求

  • 直接给表格 + 一句话总结(总数、最常用、谁在吃灰),不要复述命令本身
  • 用户追问细节(某 skill、某项目、按天趋势)时,才可加 CLI 自带 flag:--here --days N --by day --all

数据维护(仅用户提到"数据不全/补一下/回填"时)

... skill-stats --backfill
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. yesterday First seen · 30 lines · 89 tokens per session scan A a1c61df1f490

Subscribe to this mod's changes

ccskill is a skill published in the GitHub repository Zane456/cc-session-memory (1 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 347 once invoked, about $0.0004 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 2026-08-31.

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