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/tencentcloud/tencentdb-agent-memory/memorycorenpx skills add TencentCloud/TencentDB-Agent-Memory --skill memorycoregit clone --depth 1 https://github.com/TencentCloud/TencentDB-Agent-MemoryWhat 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 | $0.00070 | $0.01689 |
| Opus 5 | $0.00035 | $0.00844 |
| Sonnet 5 | $0.00014 | $0.00338 |
| Haiku 4.5 | $0.00007 | $0.00169 |
Grade A, and why
openclaw-memory-tencentdb-setup scanned grade A with 0 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
60 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.
- .dockerignore 1.7 KB
- .npmignore 279 B
- bin/export-tencent-vdb.mjs 690 B runs code
- bin/migrate-sqlite-to-tcvdb.mjs 460 B runs code
- bin/read-local-memory.mjs 716 B runs code
- bin/seed-v2.mjs 1.4 KB runs code
- Dockerfile 7.9 KB
- hermes-plugin/memory/memory_tencentdb/__init__.py 37 KB runs code
- hermes-plugin/memory/memory_tencentdb/client.py 11 KB runs code
- hermes-plugin/memory/memory_tencentdb/plugin.yaml 458 B
- hermes-plugin/memory/memory_tencentdb/README.md 14 KB
- hermes-plugin/memory/memory_tencentdb/supervisor.py 17 KB runs code
- index.ts 42 KB runs code
- kubb.config.ts 993 B runs code
- openclaw-plugin/.gitignore 31 B
- openclaw-plugin/docs/architecture.md 7.0 KB
- openclaw-plugin/index.ts 10 KB runs code
- openclaw-plugin/openclaw.plugin.json 2.7 KB
- openclaw-plugin/package.json 818 B
- openclaw-plugin/README_CN.md 9.1 KB
- openclaw-plugin/README.md 9.4 KB
- openclaw-plugin/src/format.ts 3.2 KB runs code
- openclaw-plugin/src/hooks/capture.ts 8.3 KB runs code
- openclaw-plugin/src/hooks/recall.ts 1.8 KB runs code
- openclaw-plugin/src/sanitize.ts 3.5 KB runs code
- openclaw-plugin/src/tools/conversation-search.ts 1.9 KB runs code
- openclaw-plugin/src/tools/memory-search.ts 1.6 KB runs code
- openclaw-plugin/src/tools/read-cos.ts 1.3 KB runs code
- openclaw-plugin/tsconfig.json 446 B
- openclaw.plugin.json 15 KB
- package.json 6.1 KB
- pi-plugin/.gitignore 26 B
- pi-plugin/index.ts 3.4 KB runs code
- pi-plugin/package.json 664 B
- pi-plugin/README.md 3.8 KB
- pi-plugin/tsconfig.json 259 B
- pi-plugin/vitest.config.ts 162 B runs code
- pnpm-workspace.yaml 351 B
- README_CN.md 12 KB
- README.md 9.8 KB
- scripts/bench-checkpoint-lock.ts 6.6 KB runs code
- scripts/ci/check-skill-queue-isolation.sh 5.1 KB runs code
- scripts/cleanup-vdb-test-dbs.ts 3.9 KB runs code
- scripts/db/mongodb-init.js 4.0 KB runs code
- scripts/db/sqlite-init.sql 8.1 KB
- scripts/e2e-memory-prompt-vdb-cos.ts 26 KB runs code
- scripts/export-tencent-vdb/export-tencent-vdb.ts 19 KB runs code
- scripts/export-tencent-vdb/tsconfig.json 468 B
- scripts/import-opik-to-memory-core/index.ts 34 KB runs code
- scripts/import-opik-to-memory-core/README.md 8.1 KB
- scripts/import-opik-to-memory-skill-py/import_opik.py 41 KB runs code
- scripts/import-opik-to-memory-skill-py/README.md 7.7 KB
- scripts/install_hermes_memory_tencentdb.sh 14 KB runs code
- scripts/install-hermes-plugin.sh 5.5 KB runs code
- scripts/install-openclaw-plugin.sh 16 KB runs code
- scripts/migrate-sqlite-to-tcvdb/cli-entry.ts 392 B runs code
- scripts/migrate-sqlite-to-tcvdb/config-write.ts 3.2 KB runs code
- scripts/migrate-sqlite-to-tcvdb/manifest-write.ts 1.6 KB runs code
- scripts/migrate-sqlite-to-tcvdb/node-llama-cpp.d.ts 370 B runs code
- scripts/migrate-sqlite-to-tcvdb/README.md 8.1 KB
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.
- yesterday First seen · 201 lines · 70 tokens per session scan A 49e7c99a39f1
openclaw-memory-tencentdb-setup is a skill published in the GitHub repository TencentCloud/TencentDB-Agent-Memory (25,239 stars, last pushed 5d ago), with no licence file. It adds 70 tokens to every session and 1,689 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
handoff
Explicitly save or resume a compact project handoff shared by Claude Code, Codex CLI, Kimi Code, and other compatible runtimes.
setup
Set up and verify a first memtomem memory source. Use for onboarding, choosing an index path, or confirming that search works.
remember
Save an explicit user-requested memory with memtomem. Use only when the user clearly asks to remember, record, or persist information for later.
memtomem-remember
Save an explicit user-requested memory with memtomem. Use only when the user clearly asks to remember, record, or persist information for later.
memtomem-setup
Set up and verify a first memtomem memory source. Use for onboarding, choosing an index path, or confirming that search works.
index
Index or re-index an explicitly selected file or directory with memtomem. Use for initial ingestion or intentional refresh after file changes.