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BC memory-tencentdb

四层记忆系统插件 — 自动捕获对话、提取结构化记忆、归纳场景、生成用户画像。支持 L0→L1→L2→L3 渐进式管线，本地 SQLite + 腾讯云向量数据库双后端。

ClawHub Agent Skills author: paudyyin v0.3.8 MIT-0 80 files · 4 scripts body ≈ 553 tokens Open the sourceclawhub.ai↗ analyzed 11 h ago

四层记忆系统插件 — 自动捕获对话、提取结构化记忆、归纳场景、生成用户画像。支持 L0→L1→L2→L3 渐进式管线，本地 SQLite + 腾讯云向量数据库双后端。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePersonal productivitytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
90
Quality 40%
66
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-privilege scripts/install_hermes_memory_tencentdb.sh:235
    Privilege escalation / world-writable permissions
    cat << ENVEOF | sudo tee "$ENVFILE" > /dev/null
  • low Dangerous commands cmd-background-process scripts/memory-tencentdb-ctl.sh:249
    Starts a background / autostarted process (code comment)
    # setsid 让 Gateway 脱离当前 shell 的进程组；nohup 兜底保证终端断开不挂
    comment
  • low Dangerous commands cmd-background-process scripts/memory-tencentdb-ctl.sh:251
    Starts a background / autostarted process
    if command -v setsid >/dev/null 2>&1; then
  • low Dangerous commands cmd-background-process scripts/memory-tencentdb-ctl.sh:252
    Starts a background / autostarted process (quoted — discussed, not commanded)
    eval "setsid nohup $gw_cmd >>\"$STDOUT_LOG\" 2>>\"$STDERR_LOG\" </dev/null &"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/migrate-sqlite-to-tcvdb/dist/src/core/store/sqlite.js:1011
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    this.logger?.warn(`${TAG} dele…ime failed (non-fatal): ${err instanceof Error ? err.message : String(err)}`);
    placeholder
  • low Secrets in code secret-high-entropy-token scripts/migrate-sqlite-to-tcvdb/dist/src/store/sqlite.js:1011
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    this.logger?.warn(`${TAG} dele…ime failed (non-fatal): ${err instanceof Error ? err.message : String(err)}`);
    placeholder

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 553 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 83: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -34 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This is a real memory plugin, but it also patches host software/configuration and has under-disclosed remote/offload behaviors that warrant manual review before installation.
LLM: suspicious (high) · VirusTotal: · 8 Jun 2026