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.
git clone --depth 1 https://github.com/rianvdm/product-ai-publicWrote 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/commands/rianvdm/product-ai-public/session-start)<a href="https://agentmods.dev/commands/rianvdm/product-ai-public/session-start"><img src="https://agentmods.dev/badge/commands/rianvdm/product-ai-public/session-start/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/commands/rianvdm/product-ai-public/session-start"><img src="https://agentmods.dev/badge/commands/rianvdm/product-ai-public/session-start.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 | $0.00016 | $0.00681 |
| Opus 5.5 | $0.00006 | $0.00272 |
| Sonnet 5.5 | $0.00003 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
session-start 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Start
Load cross-session memory to establish continuity from previous work sessions.
Your Task
$ARGUMENTS
Instructions
1. Load Corrections
Read 01-context/corrections.md in full. Apply these corrections for the rest of the conversation. Do not summarize them back to the user unless asked — just internalize them.
2. Load Stable Facts
Two stable-facts files exist:
01-context/stable-facts-work.md— Amazon work state, blockers, environment01-context/stable-facts-personal.md— Personal/side-project state, decisions, environment
If the user's arguments indicate a topic area (e.g., "continue with Exponent" → work, "Discrobble work" → personal), read only the relevant file. Otherwise, read both.
This gives you the current state of all active work, recent decisions, blockers, and environment constraints. Use this as your primary orientation — it's more current and compact than the session log.
3. Load Recent Session Logs
Two session logs exist:
01-context/session-log-work.md— Amazon work01-context/session-log-personal.md— Personal/side projects (Discrobble, discogs-mcp, ListenToMore, tldl)
If the user's arguments indicate a topic area (e.g., "continue with Exponent" → work, "Discrobble work" → personal), read only the relevant log. Otherwise, read both.
Find the last 3 entries (H2 sections) from whichever log(s) you loaded. These represent the most recent substantive work sessions.
When reviewing open threads from the session log, cross-reference against stable-facts. Don't list items that are already captured as active work or blockers — only surface threads that stable-facts doesn't cover.
4. Check for Open Threads
From the recent entries and stable-facts, identify what might be relevant to today's work. Present briefly:
**Current state** (from stable-facts):
* [2-3 most relevant active work items based on recency or user's arguments]
**Recent sessions:**
* [Date] — [Topic]: [One-line summary]
* [Date] — [Topic]: [One-line summary]
* [Date] — [Topic]: [One-line summary]
**Open threads not in stable-facts:**
* [Thread from session log entry, if any that aren't already tracked]
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 Changed · +1 lines · +3 tokens per session 3128feca088c
- 1mo ago First seen · 71 lines · 13 tokens per session scan A 35c40e752365
session-start is a command published in the GitHub repository rianvdm/product-ai-public (18 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 681 once invoked, about $0.0001 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 2026-09-09.
session-start compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| session-startrianvdm/product-ai-public | Command | 18 | 1mo ago | MIT | A | 16 | Claude Code, OpenCode |
| minutes-ideassilverstein/minutes | Command | 1.6k | yesterday | MIT | A | 48 | Claude Code, OpenCode |
| learnReflexioAI/claude-smart | Command | 791 | 3d ago | Apache-2.0 | A | 14 | Claude Code |
| memory-storeverygoodplugins/mcp-automem | Command | 66 | yesterday | MIT | A | 10 | Claude Code |
| analyze-contextRohiRIK/OpenLtm | Command | 29 | 8d ago | MIT | A | 39 | Claude Code |
| cc-memoryTheLobbi/claude | Command | 21 | 7d ago | MIT | A | 0 | Claude Code |
| lians-recallLians-ai/Lians | Command | 17 | 5d ago | Apache-2.0 | A | 19 | Claude Code |