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 skills add TencentCloud/TencentDB-Agent-Memory --skill setup-proxygit clone --depth 1 https://github.com/TencentCloud/TencentDB-Agent-MemoryWrote 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/tencentcloud/tencentdb-agent-memory/setup-proxy)<a href="https://agentmods.dev/skills/tencentcloud/tencentdb-agent-memory/setup-proxy"><img src="https://agentmods.dev/badge/skills/tencentcloud/tencentdb-agent-memory/setup-proxy/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.
<a href="https://agentmods.dev/skills/tencentcloud/tencentdb-agent-memory/setup-proxy"><img src="https://agentmods.dev/badge/skills/tencentcloud/tencentdb-agent-memory/setup-proxy.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00027 | $0.03083 |
| Opus 5.5 | $0.00011 | $0.01233 |
| Sonnet 5.5 | $0.00005 | $0.00617 |
| Haiku 4.5 | $0.00003 | $0.00308 |
Grade C, and why
setup-proxy scanned grade C with 3 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| dsh | `~/.dsh/settings.yaml` + `~/.dsh/.credentials.yaml` | OpenAI Chat (无 /v1) | 两个文件 + chmod 700/600 | Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat ~/.claude/settings.json 2>/dev/null | jq -r '.env.ANTHROPIC_BASE_URL // empty' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**根据选中 agent 的协议**，构造对应的 curl 探测请求： 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
1 file 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.
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 · 259 lines · 27 tokens per session scan C 557d6b8c4ce7
setup-proxy is a skill published in the GitHub repository TencentCloud/TencentDB-Agent-Memory (29,249 stars, last pushed yesterday), with no licence file. It adds 27 tokens to every session and 3,083 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 3 findings (asks for root, reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
memory-consolidate
Consolidate L1 memory atoms into L2 scene blocks and L3 persona. Invoked by the memory-consolidator agent, or manually via /memory-consolidate.
tmem-cli
Inspect/manage the local memory store via the tmem CLI — counts, keyword/hybrid search, view persona, list/open scenes (tmem scene ), recent changes, sync vectors, thresholds, and cross-project search (tmem search --all, tmem projects). Trigger on "how many memories", "show my persona", "what scenes exist", "search…
memory-view
Open the memory visualiser in the browser — a health check on the memory store: is it working, what is wrong, and what to run to fix it. Run manually via /memory-view.
memory-seed
Extract L1 memory atoms from Claude Code conversation history. Run manually via /memory-seed.
memory-poisoning-detection
Detect persistent instruction injection or long-term memory poisoning. Focus on writing/retaining hostile instructions for future tasks, not data leakage.
harness-creator
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is…