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/ContoriumLabs/contoriumWrote 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/contoriumlabs/contorium/start-fresh-session)<a href="https://agentmods.dev/commands/contoriumlabs/contorium/start-fresh-session"><img src="https://agentmods.dev/badge/commands/contoriumlabs/contorium/start-fresh-session.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00147 |
| Opus 5 | $0.00010 | $0.00073 |
| Sonnet 5 | $0.00004 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
start-fresh-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 8d 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
Start fresh AI context session
Use when the user switched goals (e.g. landing page → auth bug) and old session telemetry should not pollute the next export.
- Confirm the user wants to clear session-scoped activity (not long-term workspace files or Git).
- Run Contorium: Start fresh AI context session (
contora.startFreshAiSession), or accept Start fresh when Contorium detects a workspace shift after updating Current focus. - After reset, suggest setting Current focus and resuming work so heuristic intent repopulates.
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.
- 8d ago First seen · 13 lines · 21 tokens per session scan A 5c57d57c4062
start-fresh-session is a command published in the GitHub repository ContoriumLabs/contorium (6 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 147 once invoked, about $0.0001 per session on Opus 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.
Other commands, from other repositories
dmb-resume
Resume DMB context for this session.
dmb-status
Show DMB status for this project.
prime
Load SageOx team context for this AI coworker session.
mem-prune
Removes old low-importance memories.
mem-last
Prints latest memory cards for the current project.
mem-search
Searches memory candidates using local FTS.