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/JoyciAkira/mementoWrote 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/joyciakira/memento/mine)<a href="https://agentmods.dev/commands/joyciakira/memento/mine"><img src="https://agentmods.dev/badge/commands/joyciakira/memento/mine.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 | $0.00011 | $0.00061 |
| Opus 5 | $0.00005 | $0.00030 |
| Sonnet 5 | $0.00002 | $0.00012 |
| Haiku 4.5 | $0.00001 | $0.00006 |
Grade A, and why
mine 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 7d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 7d ago First seen · 8 lines · 11 tokens per session scan A 779e3bbeb060
mine is a command published in the GitHub repository JoyciAkira/memento (1 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 11 tokens to every session and 61 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
build-corpus
Use when the user invokes /goal-flight build-corpus to build or refresh the private Goal Flight dispatch-context corpus.
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.
execute
Use when the user invokes /goal-flight execute during an active Goal Flight run to dispatch the next queued chunks.
init
Use when the user invokes /goal-flight init to scaffold Goal Flight project state for a long-running orchestrated repository run.
update
Use when the user invokes /goal-flight update to refresh the Goal Flight skill checkout and worker CLIs before an unattended run.
controller-behavior-test
Use when the user invokes /goal-flight controller-behavior-test to run scripted Goal Flight orchestrator behavior scenarios.