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/start-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/start-session)<a href="https://agentmods.dev/skills/satsilem/ai-workflow-framework/start-session"><img src="https://agentmods.dev/badge/skills/satsilem/ai-workflow-framework/start-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/start-session"><img src="https://agentmods.dev/badge/skills/satsilem/ai-workflow-framework/start-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 | $0.00082 | $0.00955 |
| Opus 5.5 | $0.00033 | $0.00382 |
| Sonnet 5.5 | $0.00016 | $0.00191 |
| Haiku 4.5 | $0.00008 | $0.00096 |
Grade A, and why
start-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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start Session
The goal is to orient quickly — give enough context to work effectively without overwhelming with detail. Think of it as a smart handoff from the last session.
Step 1 — Check files exist
Look for these files in the current working directory:
CLAUDE.mdSESSION.mdTODO.md.reference/INDEX.md(optional but recommended)
If any are missing, warn immediately:
⚠️ Missing: SESSION.md — no session history available
⚠️ Missing: TODO.md — no task list found
If CLAUDE.md is missing, note that the project may not be set up yet and
suggest running the project-setup skill.
Step 2 — Read the files strategically
- CLAUDE.md — read in full (it's the master reference, usually concise)
- .reference/INDEX.md — if present, read in full; this is the evergreen lookup map
- TODO.md — read strategically:
## Open Tasks— read in full (this is the canonical active work list)## Done— skip by default unless needed for clarification
- SESSION.md — read selectively:
- KEY LEARNINGS section — read in full (critical gotchas, always relevant)
- CHRONOLOGICAL LOG — read only the last 2-3 entries (recent = relevant)
- Skip everything older — it's history, not context
SESSION.md can be hundreds of lines. Don't read it all — the gotchas and recent entries are what matter for orienting quickly.
Use .reference/ for stable operational/docs lookup context. Use .ai-notes/ only when a specific investigation timeline is needed.
Step 3 — Produce the session brief
Use this structure. Keep each section tight — no padding, no repetition.
## Session Ready — [Project Name]
**Project:** [What this project is + current status in 2-3 lines]
**Last session:** [What was done + any key decisions made — 2-3 lines]
**Key gotchas:**
- [Top 2-3 warnings from KEY LEARNINGS most relevant right now]
- [Only include ones that could actually affect today's work]
**Open tasks:**
1. [!] [Important task title]
scope: ... | target: ... | owner: ... | next: ... | updated: YYYY-MM-DD
2. [!] [Next urgent task title]
scope: ... | target: ... | owner: ... | next: ... | updated: YYYY-MM-DD
3. [ ] [Remaining open task title]
scope: ... | target: ... | owner: ... | next: ... | updated: YYYY-MM-DD
**Suggested focus today:**
- [2-3 specific items Claude thinks deserve attention, based on context,
recency, and what was left unfinished last session]
**Reference docs to use:**
- [0-3 relevant files from `.reference/INDEX.md` for likely lookup during this session]
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 · 96 lines · 82 tokens per session scan A 9bd78280ba0d
start-session is a skill published in the GitHub repository satsilem/ai-workflow-framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 955 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.
start-session compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| start-sessionsatsilem/ai-workflow-framework | Skill | 2 | 1mo ago | MIT | A | 82 | 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 |