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 Zane456/cc-session-memory --skill ccskillgit clone --depth 1 https://github.com/Zane456/cc-session-memoryWrote 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/zane456/cc-session-memory/ccskill)<a href="https://agentmods.dev/skills/zane456/cc-session-memory/ccskill"><img src="https://agentmods.dev/badge/skills/zane456/cc-session-memory/ccskill/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/zane456/cc-session-memory/ccskill"><img src="https://agentmods.dev/badge/skills/zane456/cc-session-memory/ccskill.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00089 | $0.00347 |
| Opus 5.5 | $0.00036 | $0.00139 |
| Sonnet 5.5 | $0.00018 | $0.00069 |
| Haiku 4.5 | $0.00009 | $0.00035 |
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 1mo 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.
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
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.
- 1mo ago First seen · 30 lines · 89 tokens per session scan A a1c61df1f490
ccskill is a skill published in the GitHub repository Zane456/cc-session-memory (1 stars, last pushed 3mo ago), licensed MIT. It adds 89 tokens to every session and 347 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 2026-08-31.
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