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 skills add edwin-hao-ai/Awareness-SDK --skill awareness-memorygit clone --depth 1 https://github.com/edwin-hao-ai/Awareness-SDKWrote 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/edwin-hao-ai/awareness-sdk/awareness-memory)<a href="https://agentmods.dev/skills/edwin-hao-ai/awareness-sdk/awareness-memory"><img src="https://agentmods.dev/badge/skills/edwin-hao-ai/awareness-sdk/awareness-memory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/edwin-hao-ai/awareness-sdk/awareness-memory"><img src="https://agentmods.dev/badge/skills/edwin-hao-ai/awareness-sdk/awareness-memory.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00050 | $0.03911 |
| Opus 5 | $0.00025 | $0.01956 |
| Sonnet 5 | $0.00010 | $0.00782 |
| Haiku 4.5 | $0.00005 | $0.00391 |
Grade A, and why
awareness-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 9d 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 — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Awareness Cloud Memory
You have access to persistent cloud memory. Memory persists across sessions, devices, and projects.
Privacy & Data
This skill communicates with an external API to provide memory functionality:
- Before each prompt: Your prompt text is sent to the configured Awareness API endpoint (default:
awareness.market) to retrieve relevant past context via semantic search. - After each response: A brief session checkpoint (tool name, no full conversation) is sent to record activity.
- Credentials: API key and memory ID are stored in
~/.awareness/credentials.json(file permissions 0600). The setup script can optionally write environment variables to your shell profile. - Local mode: If you run a local daemon (
localhost:37800), all data stays on your machine — nothing is sent externally. - No secrets captured: The skill never reads, stores, or transmits file contents, environment variables, or credentials from your system beyond its own API key.
You can review the scripts in this skill folder before use. Source code: https://github.com/edwin-hao-ai/Awareness-SDK
Automatic Hooks (no action needed)
Hooks run automatically — you don't need to do anything:
- Before each prompt: Past context is injected as
<awareness-memory>XML - After each response: A checkpoint is saved to memory
Manual Tools
When you need more control beyond automatic hooks, use these Bash commands. All scripts are at ${CLAUDE_SKILL_DIR}/scripts/.
1. Initialize Session
Load cross-session context (summaries, tasks, knowledge cards):
node ${CLAUDE_SKILL_DIR}/scripts/init.js [days=7] [max_cards=20] [max_tasks=20]
Call this ONCE at session start if the auto-recall didn't provide enough context.
2. Search Memory (awareness_recall)
Semantic + keyword hybrid search for past decisions, solutions, and knowledge:
# Basic search
node ${CLAUDE_SKILL_DIR}/scripts/search.js "how was auth implemented?"
# With keyword boost
node ${CLAUDE_SKILL_DIR}/scripts/search.js "auth implementation" keyword_query="JWT HKDF"
# Advanced options
node ${CLAUDE_SKILL_DIR}/scripts/search.js "deployment issues" \
scope=timeline limit=10 recall_mode=session \
multi_level=true cluster_expand=true
# Progressive disclosure: get summaries first, then expand specific items
node ${CLAUDE_SKILL_DIR}/scripts/search.js "auth" detail=summary
node ${CLAUDE_SKILL_DIR}/scripts/search.js "auth" detail=full ids=id1,id2
What ships with it
19 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.
- awareness-spec.json 31 KB
- CHANGELOG.md 6.9 KB
- mcp-stdio.cjs 14 KB runs code
- scripts/agent-prompt.js 2.3 KB runs code
- scripts/capture.js 1.1 KB runs code
- scripts/harness-builder.mjs 20 KB runs code
- scripts/headless-auth.js 5.0 KB runs code
- scripts/import.js 7.8 KB runs code
- scripts/init.js 2.2 KB runs code
- scripts/lookup.js 6.4 KB runs code
- scripts/poll-auth.js 5.2 KB runs code
- scripts/recall.js 21 KB runs code
- scripts/record.js 6.4 KB runs code
- scripts/save-memory.js 3.3 KB runs code
- scripts/search.js 3.3 KB runs code
- scripts/setup.js 13 KB runs code
- scripts/shared.js 14 KB runs code
- scripts/sync.js 5.6 KB runs code
- ship-gate.sh 978 B runs code
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.
- 9d ago First seen · 345 lines · 50 tokens per session scan A 5a5ef0b781ab
awareness-memory is a skill published in the GitHub repository edwin-hao-ai/Awareness-SDK (9 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 3,911 once invoked, about $0.0003 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
weekly-digests
Generate a serial week-by-week narrative digest of a project's full claude-mem timeline. Splits the timeline into per-ISO-week files, then runs one consecutive subagent per week — each receiving the prior week's carry-forward block — to produce one chapter per ISO week of data. Use when asked for "weekly digests"…
cloud-sync
Set up or check claude-mem cloud sync with cmem.ai Pro. Use when the user says "set up cloud sync", "sync my memories", "cmem pro", "cloud backup", "sync status", or wants their memory database backed up or synced to their cmem.ai account.
claude-mem-install
Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.
how-it-works
Explain how claude-mem captures observations, when memory injection kicks in, and where data lives. Use when the user asks "how does claude-mem work?" or "what is this thing doing?".
openclaw
This guide walks through setting up the claude-mem plugin on an OpenClaw gateway. By the end, your agents will have persistent memory across sessions via system prompt context injection, and optionally a real-time observation feed streaming to a messaging channel.
learn-codebase
Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to "learn the codebase", "read the codebase", "prime", or "get up to speed".