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/altertable-ai/skills/use-memorynpx skills add altertable-ai/skills --skill use-memorygit clone --depth 1 https://github.com/altertable-ai/skillsWrote 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/skills/altertable-ai/skills/use-memory)<a href="https://agentmods.dev/skills/altertable-ai/skills/use-memory"><img src="https://agentmods.dev/badge/skills/altertable-ai/skills/use-memory.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 | $0.00034 | $0.02179 |
| Opus 5 | $0.00017 | $0.01090 |
| Sonnet 5 | $0.00007 | $0.00436 |
| Haiku 4.5 | $0.00003 | $0.00218 |
Grade A, and why
use-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 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.
How it starts
The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use Memory
Purpose
Memory and knowledge transform agents from stateless tools into learning entities. Instead of starting fresh each run, agents can:
- Recall what worked before
- Avoid repeating mistakes
- Apply organization-specific knowledge
- Build expertise over time
Altertable distinguishes knowledge entries from memories:
- Knowledge entries are durable reference material added by the team or synced from repositories. Use
create_knowledgeonly when the user wants a stable source of truth recorded exactly. - Memories are learned observations from agent work, notifications, discoveries, and feedback. Use memory tools for patterns, preferences, and working context learned through analysis.
When to Search
At the start of every workflow - proactively recall relevant context before taking action.
Search when:
- Beginning a new analysis
- Before creating discoveries or insights
- When context from past runs would help
- When working with familiar entities (tables, metrics, users)
- When
initializereturns relevant knowledge entries, read them before deciding
When to Create
Only after something valuable happens - quality over quantity.
Create a memory when:
- A discovery was approved or rejected (learn from feedback)
- You found an organization-specific pattern or threshold
- A technique worked well (or failed in a specific context)
- You learned something that would help future runs
Create a knowledge entry when:
- The user gives a canonical metric definition, business rule, or operating procedure
- The content should be durable, searchable, and applied exactly in future work
- The source of truth is not already available through a connected repository or semantic model
Do not create memories for:
- Routine success ("query returned results")
- Minor details ("table has 1M rows")
- Information easily re-discoverable
- Duplicates of existing memories
- Stable definitions that belong in the semantic layer or a knowledge entry instead
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 296 lines · 34 tokens per session scan A b55b001f67e9
use-memory is a skill published in the GitHub repository altertable-ai/skills (7 stars, last pushed 9d ago), licensed MIT. It adds 34 tokens to every session and 2,179 once invoked, about $0.0002 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…