edwin-hao-ai/recall
claudecode/skills/recall/SKILL.md
Search Awareness memory for past implementations, decisions, or relevant context.
$ install --global
skillsauthnpx skillsauth add edwin-hao-ai/awareness-sdk recallInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 26, 2026, 3:55 AM7.2s1 file scanned
SKILL.md
- name:
- recall
- description:
- Search Awareness memory for past implementations, decisions, or relevant context.
- user-invocable:
- true
- disable-model-invocation:
- false
Search Awareness Memory for relevant context.
Query: $ARGUMENTS
How to call Awareness tools
Try MCP tools first (awareness_recall).
If MCP tools are NOT available, use Bash to call the local daemon HTTP API directly:
# F-053: single-parameter — daemon picks scope/mode/detail/weights.
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":"why did we pick pgvector?","limit":10}}}'
The response is JSON-RPC: result.content[0].text contains the tool output as JSON string.
Steps
-
REWRITE the user query into a complete natural-language question with context. Example: "auth bug" → "authentication bug in login flow, JWT token handling, session management"
-
Call
awareness_recallwith ONE parameter:query: the rewritten natural-language question- (optional)
limit: default 6, max 30 - (optional)
token_budget: 5K (default, card-heavy) / 30K (mixed) / 60K+ (raw-heavy)
Daemon auto-routes across memories + knowledge cards + workspace graph and picks the right detail level for your token budget. You do NOT need to choose scope, recall_mode, detail, ids, or weights.
-
Present results clearly:
- Existing implementations that can be reused (include file paths)
- Architectural decisions already made
- Related past work and warnings
Rules:
- Pass ONE query string — daemon handles the rest.
- If results are empty, say so clearly — do not hallucinate.
- Do not dump raw JSON — summarize in plain language.
Related Skills
edwin-hao-ai/setup
testing
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Setup Awareness Memory — check local daemon, authenticate via browser, and configure credentials.
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edwin-hao-ai/session-start
tools
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Initialize memory session, load project context, and create a session_id for tracking.
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edwin-hao-ai/save
tools
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Save current session progress to Awareness memory as a batch of structured steps.
9SKILL.mdUpdated Apr 26, 2026
edwin-hao-ai/done
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End the current Awareness memory session and save final progress.
9SKILL.mdUpdated Apr 26, 2026