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 agentmods add skills/d-wwei/agent-recall/openclawnpx skills add d-wwei/agent-recall --skill openclawgit clone --depth 1 https://github.com/d-wwei/agent-recallWrote 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/d-wwei/agent-recall/openclaw)<a href="https://agentmods.dev/skills/d-wwei/agent-recall/openclaw"><img src="https://agentmods.dev/badge/skills/d-wwei/agent-recall/openclaw.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.03874 |
| Opus 5 | $0.00000 | $0.01937 |
| Sonnet 5 | $0.00000 | $0.00775 |
| Haiku 4.5 | $0.00000 | $0.00387 |
Grade B, and why
openclaw 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 5d 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.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://install.cmem.ai/openclaw.sh | bash Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://install.cmem.ai/openclaw.sh | bash The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
15 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.
- .gitignore 20 B
- Dockerfile.e2e 2.5 KB
- e2e-verify.sh 6.9 KB runs code
- install.sh 62 KB runs code
- openclaw.plugin.json 3.6 KB
- package.json 373 B
- skills/do/SKILL.md 34 B
- skills/make-plan/SKILL.md 41 B
- src/index.test.ts 35 KB runs code
- src/index.ts 36 KB runs code
- test-e2e.sh 1.5 KB runs code
- test-install.sh 71 KB runs code
- test-sse-consumer.js 3.0 KB runs code
- TESTING.md 6.5 KB
- tsconfig.json 544 B
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.
- 5d ago First seen · 463 lines · 0 tokens per session scan B acf93a8d913a
openclaw is a skill published in the GitHub repository d-wwei/agent-recall (1 stars, last pushed 4mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 3,874 tokens. A static security scan graded it B with 2 findings (downloads and executes remote code, 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
qmd
Search the vault using QMD semantic search. Use PROACTIVELY before reading files. Preference order: (1) MCP tools — mcpqmdquery, mcpqmdget, mcpqmdmultiget, mcpqmdstatus — if they appear in your tool menu, use them first; (2) CLI qmd --index ... as fallback; (3) Grep/Glob only when QMD is not installed. Trigger…
neo4j-agent-memory-skill
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model…
context-degradation
Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash.
agenttrace-session-audit
Audit local AI coding-agent sessions with agenttrace. Use when the user asks to inspect Claude Code, Codex CLI, Gemini CLI, Qwen Code, Cline, Aider, Cursor exports, Hermes Agent, OpenCode, OpenClaw, Pi, Oh My Pi, Kimi CLI, Copilot-style logs, or generic JSON/JSONL traces for cost, tokens, tool failures, latency…
lov-auto-context
Manual or hook-triggered context operator. Evaluates the current session for pollution (long conversations, topic drift, stale noise), AND takes concrete context-shaping actions: writing project memory, updating global or project CLAUDE.md (with diff + confirm), and recommending harness commands like /fork, /compact…
context-compression
Design and evaluate compression strategies for long-running sessions.