Borrowing it
Nothing to install: this file belongs to satsilem/ai-workflow-framework. 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/satsilem/ai-workflow-framework/main/.claude/skills/end-session/SKILL.mdgit clone --depth 1 https://github.com/satsilem/ai-workflow-frameworkWrote 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/satsilem/ai-workflow-framework/end-session)<a href="https://agentmods.dev/skills/satsilem/ai-workflow-framework/end-session"><img src="https://agentmods.dev/badge/skills/satsilem/ai-workflow-framework/end-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/satsilem/ai-workflow-framework/end-session"><img src="https://agentmods.dev/badge/skills/satsilem/ai-workflow-framework/end-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 | $0.00085 | $0.02303 |
| Opus 5.5 | $0.00034 | $0.00921 |
| Sonnet 5.5 | $0.00017 | $0.00461 |
| Haiku 4.5 | $0.00009 | $0.00230 |
Grade A, and why
end-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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
End Session
The goal is to close the session cleanly — capture what happened, update the project files, and surface anything worth remembering or acting on next time.
Two modes:
- Default — sequential: each section is presented one at a time, wait for confirmation before moving to the next.
- Quick mode — triggered when the user says "end session quick" or "quick end session": present all sections in one report, user replies once.
If mode is unclear, use default (sequential).
Step 1 — Read current state
Before producing the report, read:
SESSION.md— to understand what's already logged and what gotchas existTODO.md— to know the current task listCLAUDE.md— to check if anything critical needs updating.reference/INDEX.md— if present, to align on existing evergreen reference docs
Also review the full conversation history — this is the source of truth for what actually happened this session.
Step 2 — Produce the end-session report
Default mode (sequential)
Present each section one at a time. Wait for the user's reply before moving to the next. Order:
- Summary — show first, no confirmation needed, then immediately show Gotchas
- Gotchas to add to SESSION.md → wait for reply
- Tasks to mark as done → wait for reply
- Suggested new tasks → wait for reply
- INSIGHTS.md suggestions → wait for reply
- Apply all confirmed changes
Quick mode (all at once)
If the user said "end session quick" — present all sections in one block, user replies once for all sections. Same structure, same numbered lists.
In quick mode, start with a compact summary table before the detailed sections:
| Category | Count | Notes |
|---|---|---|
| Gotchas to add | N | include metadata tags |
| Tasks to mark done | N | include confidence tags |
| Suggested new tasks | N | deduped vs TODO.md |
| INSIGHTS suggestions | N | deduped vs INSIGHTS.md |
| Files to edit | N | SESSION.md / TODO.md / INSIGHTS.md |
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 · 276 lines · 85 tokens per session scan A 267bb9a1977a
end-session is a skill published in the GitHub repository satsilem/ai-workflow-framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 2,303 once invoked, about $0.0003 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.
end-session compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| end-sessionsatsilem/ai-workflow-framework | Skill | 2 | 1mo ago | MIT | A | 85 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |