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/rekabytes/opencode-skills/memoriesnpx skills add rekabytes/opencode-skills --skill memoriesgit clone --depth 1 https://github.com/rekabytes/opencode-skillsWhat 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 | $0.00397 |
| Opus 5 | $0.00005 | $0.00198 |
| Sonnet 5 | $0.00002 | $0.00079 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
memories 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 2d 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
Session Memory
This file tracks recent work and context for continuity across sessions. The agent reads this at the start of each session and updates it as work progresses.
Current Focus
Active Task: None Started: Not started Status: Idle
Recent Work
| Date | What Was Done | Files Changed |
|---|---|---|
| No entries yet | - | - |
Pending Tasks
- No pending tasks
Context Notes
Important context to remember across sessions:
Decisions Made
Why certain approaches were chosen
Gotchas Discovered
Unexpected behaviors or edge cases found
Dependencies
External services, APIs, or packages to consider
Known Issues
| Issue | Description | Status | Workaround |
|---|---|---|---|
| None yet | - | - | - |
How This Works
For the Agent
- Start of session: Read this file to understand current context
- Starting work: Update "Current Focus" with what you're working on
- Completing work: Add entry to "Recent Work" table
- Ending session: Update status, add any pending tasks
- Discovering issues: Add to "Known Issues" or "Context Notes"
For the User
- Feel free to edit any section manually
- Add pending tasks you want the agent to work on
- Update context notes with important information
- Clear old entries when no longer relevant
Format Guidelines
- Recent Work: Keep last 10-15 entries, archive older ones
- Pending Tasks: Use checkboxes
- [ ]for tracking - Known Issues: Include status (Open, Investigating, Fixed)
- Dates: Use YYYY-MM-DD format
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.
- 2d ago First seen · 70 lines · 11 tokens per session scan A 6d9dde031156
memories is a skill published in the GitHub repository rekabytes/opencode-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 397 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…