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 session-startgit 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/session-start)<a href="https://agentmods.dev/skills/edwin-hao-ai/awareness-sdk/session-start"><img src="https://agentmods.dev/badge/skills/edwin-hao-ai/awareness-sdk/session-start/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/session-start"><img src="https://agentmods.dev/badge/skills/edwin-hao-ai/awareness-sdk/session-start.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 | $0.00019 | $0.01002 |
| Opus 5.5 | $0.00008 | $0.00401 |
| Sonnet 5.5 | $0.00004 | $0.00200 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade B, and why
session-start scanned grade B with 2 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 1mo 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s -X POST http://localhost:37800/mcp -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"awareness_init","arguments":{"source":"claude-code"}}}' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://localhost:37800/mcp -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"awareness_init","arguments":{"source":"claude-code"}}}' How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Initialize Awareness Memory session and load project context.
How to call Awareness tools
Try MCP tools first (awareness_init, awareness_recall, awareness_record, awareness_lookup).
If MCP tools are NOT available, use Bash to call the local daemon HTTP API directly:
# awareness_init — fresh session, no prior-session noise (default max_sessions=0)
curl -s -X POST http://localhost:37800/mcp -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"awareness_init","arguments":{"source":"claude-code"}}}'
# awareness_init — resume/continuity mode, include last N session summaries
curl -s -X POST http://localhost:37800/mcp -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"awareness_init","arguments":{"source":"claude-code","max_sessions":3}}}'
# awareness_recall — pass ONE query string, daemon picks the rest
curl -s -X POST http://localhost:37800/mcp -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"awareness_recall","arguments":{"query":"<natural-language question>","limit":10}}}'
# awareness_record — pass ONE content string (action=remember is implied)
curl -s -X POST http://localhost:37800/mcp -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"awareness_record","arguments":{"content":"<detailed description>","insights":{"knowledge_cards":[...],"action_items":[...],"risks":[...]}}}}'
The response is JSON-RPC: result.content[0].text contains the tool output as JSON string.
Steps
- Call
awareness_initwith source: "claude-code".- Default mode (fresh session):
awareness_init({ source: "claude-code" })— no prior-session summaries in payload, saves ~500-1000 prompt tokens for brand-new tasks. - Resume mode:
awareness_init({ source: "claude-code", max_sessions: 3 })— adds last 3 session summaries for explicit continuity ("continue where we left off"). - Heuristic: if $ARGUMENTS mentions "continue / resume / yesterday / last time", use resume mode.
- Default mode (fresh session):
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.
- 1mo ago First seen · 70 lines · 19 tokens per session scan B 95381b457545
session-start is a skill published in the GitHub repository edwin-hao-ai/Awareness-SDK (9 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 1,002 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
ccs-align
Run the CCS Align seat's hourly breathing cycle — prove the local claude-mem worker is healthy, pull needle observations through search → timeline → getobservations, land them in a seat-owned middle cache via atomic grab → append → filter exclude-marks → replace, manage exclude marks, and walk house → project → seat…
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"…
handoff
Generate a HANDOFF.md that captures goal, current state, files touched, failed attempts, and next steps — so a fresh Claude session can continue exactly where this one left off. Use when sessions are getting long, Claude keeps retrying the same broken solution, or the user wants to step away and resume later.
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.
screenpipe
Search screen and audio history recorded by Screenpipe and optionally save selected context into claude-mem. Use when the user asks to recall desktop activity, a meeting, or something seen in another app through Screenpipe.
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?".