Install
$ agentstack add skill-robabby-claude-skills-recall ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Recall
Search stored memories using keyword/concept matching.
Workflow
- Parse the search query from $ARGUMENTS
- If no arguments provided, ask what to search for
- Determine search strategy:
- Content search: Grep for query in memory file content
- Concept search: Grep for query in frontmatter concepts
- Type filter: Optionally narrow to specific memory type folder
- Execute searches in
/Areas/AI/Memory:
``` # Content search Grep pattern="$QUERY" path="/Areas/AI/Memory" glob="*.md"
# Concept search (frontmatter) Grep pattern="concepts:.$QUERY" path="/Areas/AI/Memory" glob=".md"
# Type-filtered (if specified) Grep pattern="$QUERY" path="/Areas/AI/Memory/Strategic" glob="*.md" ```
- Read the matching files (up to limit, default 10)
- Sort by importance if multiple results
- Present findings:
- "Found X memories about [topic]..."
- Summarize top 2-3 findings
- Note memory types and importance
- Mention if more results available
Search Parameters
| Parameter | Default | Description | |-----------|---------|-------------| | Query | required | Search terms | | Limit | 10 | Max results to read | | Type | all | Filter: episodic/semantic/procedural/strategic |
Search Patterns
# General content search
Grep pattern="metatron" path="/Areas/AI/Memory" glob="*.md"
# Concept frontmatter search
Grep pattern="concepts:.*interview" path="/Areas/AI/Memory" glob="*.md"
# Type-filtered search
Grep pattern="deploy" path="/Areas/AI/Memory/Procedural" glob="*.md"
# High importance only
Grep pattern="importance: 0\\.[89]" path="/Areas/AI/Memory" glob="*.md"
# Recent memories (Glob sorts by mtime)
Glob pattern="Areas/AI/Memory/**/*.md" path=""
Examples
User: /recall hexis integration -> Search content and concepts for "hexis" and "integration" -> Present matching memories with type and importance
User: /recall deployment procedural -> Search in Areas/AI/Memory/Procedural/ for "deployment" -> Focus on how-to memories
User: /recall -> Ask: "What would you like to search for?"
Response Format
Present findings conversationally:
- "Found X memories about [topic]..."
- Summarize the most relevant 2-3 findings
- Note memory types and importance levels
- Mention if there are more results available
- Offer to read specific memories in full if needed
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: robabby
- Source: robabby/claude-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.