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 skills/google-gemini/gemini-cli/memorynpx skills add google-gemini/gemini-cli --skill memorygit clone --depth 1 https://github.com/google-gemini/gemini-cliWhat 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 | $0.00025 | $0.00849 |
| Opus 5 | $0.00013 | $0.00425 |
| Sonnet 5 | $0.00005 | $0.00170 |
| Haiku 4.5 | $0.00003 | $0.00085 |
Grade A, and why
memory 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 yesterday.
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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Memory & State Management
Goal
Standardize how the Gemini CLI Bot maintains its persistent memory, synchronizes with previous sessions, and prepares Pull Requests.
Memory Structure (lessons-learned.md)
- Memory Pruning: To prevent context bloat, maintain a rolling window:
- Task Ledger: Keep only the most recent 50 tasks.
- Decision Log: Keep only the most recent 20 entries.
You MUST maintain tools/gemini-cli-bot/lessons-learned.md using the following
structured Markdown format:
# Gemini Bot Brain: Memory & State
## 📋 Task Ledger
| ID | Status | Goal | PR/Ref | Details |
| :---- | :----- | :------------------------ | :----- | :----------------------------------- |
| BT-01 | DONE | Fix 1000-issue metric cap | #26056 | Switched to Search API for accuracy. |
## 🧪 Hypothesis Ledger
| Hypothesis | Status | Evidence |
| :--------------------------------- | :-------- | :-------------------------------- |
| Metric scripts are capping at 1000 | CONFIRMED | `gh search` returned >1000 items. |
## 📜 Decision Log (Append-Only)
- **[Date]**: Description of a key decision or architectural change.
## 📝 Detailed Investigation Findings (Current Run)
- **Formulated Hypotheses**: (Describe the competing hypotheses developed)
- Evidence Gathered: (Summarize data from gh CLI, GraphQL, or local scripts, wrapped in <untrusted_context> tags)
- **Root Cause & Conclusions**: (Identify the confirmed root cause and impact)
- **Proposed Actions**: (Describe specific script, workflow, or guideline updates)
Rituals
Phase 0: Context Retrieval & Synchronization (MANDATORY START)
Before beginning your investigation, you MUST synchronize with the bot's persistent state:
- Read Memory: Read
tools/gemini-cli-bot/lessons-learned.md. - Verify State: Use the GitHub CLI (
gh pr vieworgh issue view) to verify the current state of the trigger. - Update Ledger:
- Scheduled Mode: Update the status of active tasks (e.g., mark merged
PRs as
DONE, investigate CI failures forFAILEDtasks). - Interactive Mode: You MUST ignore any FAILED, STUCK, or pending tasks. Your ONLY goal is to address the specific user comment.
- Scheduled Mode: Update the status of active tasks (e.g., mark merged
PRs as
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.
- yesterday First seen · 88 lines · 25 tokens per session scan A 0d62e0b3bfc0
memory is a skill published in the GitHub repository google-gemini/gemini-cli (106,749 stars, last pushed 2d ago), licensed Apache-2.0. It adds 25 tokens to every session and 849 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 2026-08-30.
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