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.
npx agentmods add commands/rumotion/ai-agent-project-template/save-contextgit clone --depth 1 https://github.com/rumotion/ai-agent-project-templateWrote 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/rumotion/ai-agent-project-template/save-context)<a href="https://agentmods.dev/commands/rumotion/ai-agent-project-template/save-context"><img src="https://agentmods.dev/badge/commands/rumotion/ai-agent-project-template/save-context.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 | $0.00011 | $0.00117 |
| Opus 5 | $0.00005 | $0.00059 |
| Sonnet 5 | $0.00002 | $0.00023 |
| Haiku 4.5 | $0.00001 | $0.00012 |
Grade A, and why
save-context 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 3d 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
The current unit of work is finished. Following docs/agent-loop.md §5:
- Append a phase-completion summary (outcome, key decisions, files modified, open items, next) to
memory-bank/activeContext.md. - Update
memory-bank/progress.md(Done / Next) andmemory-bank/handoff.md. - Clear any acted-on entries from
memory-bank/reminders.md.
Change only files whose facts changed. Keep every entry concise.
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.
- 3d ago First seen · 12 lines · 11 tokens per session scan A 3800bdee27e6
save-context is a command published in the GitHub repository rumotion/ai-agent-project-template (1 stars, last pushed 13d ago), licensed MIT. It adds 11 tokens to every session and 117 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
safe-refactor
Safe refactoring with automated review, testing, and rollback capabilities.
test
Smart test runner with filtering, coverage, and health monitoring.
create-pr
Create a pull request following the official template.
compact-prep
Ask the agent to prepare for conversation compaction by updating any relevant state and providing guidance for the compaction agent and to kick off the session there after.
review-code
Read ALL memory bank code rules + best practices, check the files that changed, and APPLY fixes so they adhere. The active counterpart to /scan (which is read-only). Use after an AI session, before commit, to make changed files compliant.
execute
Executa o plano aprovado em .first-plan/07-state/plans/. Segue o plano à risca, para se algo invalidar premissa, gera relatório ao final.