A memory-search skill for finding past implementations, decisions, and related project context. It rewrites short queries into clearer questions before searching.

Looking up why a technical choice was made, finding earlier solutions, and retrieving project knowledge related to a current task.

It helps you recover relevant background instead of repeating investigations or making decisions without earlier context.

recall — Skill for Claude Code by edwin-hao-ai/Awareness-SDK

Install

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.

Any agent

npx skills add edwin-hao-ai/Awareness-SDK --skill recall

Clone the repo

git clone --depth 1 https://github.com/edwin-hao-ai/Awareness-SDK

Made for: Claude Code.

Or install awareness-memory, the plugin that ships this one along with the rest of its 5 skills, 4 hooks, 1 MCP server.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/edwin-hao-ai/awareness-sdk/recall/github.svg)](https://agentmods.dev/skills/edwin-hao-ai/awareness-sdk/recall)

Your own site

<a href="https://agentmods.dev/skills/edwin-hao-ai/awareness-sdk/recall"><img src="https://agentmods.dev/badge/skills/edwin-hao-ai/awareness-sdk/recall/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/edwin-hao-ai/awareness-sdk/recall"><img src="https://agentmods.dev/badge/skills/edwin-hao-ai/awareness-sdk/recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 436 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00016	$0.00436
Opus 5.5	$0.00006	$0.00174
Sonnet 5.5	$0.00003	$0.00087
Haiku 4.5	$0.00002	$0.00044

Measured 1mo ago against content hash c1d36f2a562f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

recall 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_recall","arguments":{"query":"why did we pick pgvector?","limit

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_recall","arguments":{"query":"why did we pick pgvector?","limit

claudecode/skills/recall/SKILL.md · 47 lines

What it actually says

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_recall with 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.

Changes

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 · 47 lines · 16 tokens per session scan B c1d36f2a562f

Subscribe to this mod's changes

recall 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 16 tokens to every session and 436 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.

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