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/everyone-needs-a-copilot/claude-copilot/memorynpx skills add Everyone-Needs-A-Copilot/claude-copilot --skill memorygit clone --depth 1 https://github.com/Everyone-Needs-A-Copilot/claude-copilotWrote 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/everyone-needs-a-copilot/claude-copilot/memory)<a href="https://agentmods.dev/skills/everyone-needs-a-copilot/claude-copilot/memory"><img src="https://agentmods.dev/badge/skills/everyone-needs-a-copilot/claude-copilot/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 5.1 | $0.00032 | $0.00238 |
| Opus 5 | $0.00016 | $0.00119 |
| Sonnet 5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
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 today.
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
Memory
Show memory and task state for transparency.
Workflow
- Run
cc memory list --limit 10whenccis configured. - Run
cc config list --scope effectiveto show relevant paths andrefs.*. - Run
cc memory check --jsonto detect broken paths, unresolved commands, version conflicts, and stale entries. - Run
cc usage --json --no-probeonly when the user asks about Claude Copilot quota or session usage. - Run
tc progress --jsonwhentcis initialized. - Present a compact dashboard.
When the user requests a portable snapshot, use cc memory export with an
explicit output path or JSON output. Export is user-requested; it is not an
automatic memory-to-knowledge sync.
Output
- recent decisions
- recent context or lessons
- known references
- memory drift score and flagged entries
- task progress
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.
- today First seen · 30 lines · 32 tokens per session scan A abc69aa4700a
memory is a skill published in the GitHub repository Everyone-Needs-A-Copilot/claude-copilot (13 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 238 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 2026-09-04.
Other skills, from other repositories
go-start
Session startup skill. Reads platform docs, builds context, asks which project we're working on, reads project docs — and is ready to work. Also handles continuation of a stuck task by restoring context from the interrupted session. Use when: start of a new terminal session, load context, resume interrupted work.
gohm
/gohm - Go Harvest Memory (Knowledge Harvester).
memory
Use this agent to manage permanent memory storage, retrieval weight calculation, and knowledge preservation following NASAB Pillar 5.
context
Context Manager - Token Budget Controller.
recall
/recall — Layered Knowledge Recall.
evolve
/evolve - Framework Evolution from Dev-Memory.