Borrowing it
Nothing to install: this file belongs to GengzeZhou/memex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GengzeZhou/memex/main/.claude/skills/summarize-session/SKILL.mdgit clone --depth 1 https://github.com/GengzeZhou/memexWrote 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/gengzezhou/memex/summarize-session)<a href="https://agentmods.dev/skills/gengzezhou/memex/summarize-session"><img src="https://agentmods.dev/badge/skills/gengzezhou/memex/summarize-session/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/gengzezhou/memex/summarize-session"><img src="https://agentmods.dev/badge/skills/gengzezhou/memex/summarize-session.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 | $0.00049 | $0.00560 |
| Opus 5.5 | $0.00020 | $0.00224 |
| Sonnet 5.5 | $0.00010 | $0.00112 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
summarize-session 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 2mo 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Summarization Workflow
For NEW sessions:
- Read the file — parse each line as JSON
- Filter to user/assistant messages — skip
file-history-snapshot, tool results, subagent internals - Strip noise — remove IDE tags (
<ide_opened_file>), command outputs (<local-command-stdout>), system reminders, task notifications - Identify the project — from
cwd,projectfield, or folder encoding - Understand the task — what was the user trying to accomplish?
- Document outcomes — what was built, changed, fixed, or decided?
- Note technologies — languages, frameworks, tools used
- Write summary — follow @SESSION_TEMPLATE.md
- Update manifest — add entry to
projects/.manifest.json
For UPDATED sessions (session continued since last summary):
- Read the manifest — find
linescount from last processing - Read the JSONL file — focus on lines AFTER the previously processed count
- Read the existing summary — understand what's already documented
- Identify new work — what happened in the continuation?
- Update the summary — append new sections or extend existing ones. Do NOT rewrite what's already there unless it's wrong.
- Update manifest — set
linesto current count
Output Format
Follow the template in @SESSION_TEMPLATE.md
Manifest Update
After processing, update projects/.manifest.json:
manifest[rel_path] = {
"lines": current_line_count,
"last_timestamp": last_message_timestamp,
"summary": "projects/ProjectName/YYYY-MM-DD_description.md",
"status": "summarized" # or "skipped" for trivial sessions
}
Rules
- Be factual, not verbose. Summarize what happened, not what Claude said.
- Include enough detail that someone reading the summary months later can understand the work.
- If the session involves Chinese text, preserve key Chinese terms where they add context.
- If the session is trivial (<5 real messages, no meaningful work), mark as
"skipped"in manifest. - Always update the project README.md session table and projects/INDEX.md.
What ships with it
1 file 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.
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.
- 2mo ago First seen · 57 lines · 49 tokens per session scan A eee4fe73e8f2
summarize-session is a skill published in the GitHub repository GengzeZhou/memex (10 stars, last pushed 7mo ago), licensed MIT. It adds 49 tokens to every session and 560 once invoked, about $0.0002 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.
summarize-session compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| summarize-sessionGengzeZhou/memex | Skill | 10 | 7mo ago | MIT | A | 49 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |