SocialGuessSkills (starlink-awaken/SocialGuessSkills) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

C
Emerging
74/100
3 months ago

SocialGuessSkills

A multi-agent framework that models complex social systems through a coordinated workflow of seven specialized agents covering areas like economics, governance, and risk. It enables users to generate structured, verifiable social system models from basic assumptions using the Model Context Protocol.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

starlink-awaken

Source: Glama

Is this your MCP?

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 4 credentials: ANTHROPIC_API_KEY, API_KEY, GLM_API_KEY, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies1 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

Zod denial of service vulnerability

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configAGENT_MOCK_MODE强制 mock(true/false,默认 false)
🔐 secretANTHROPIC_API_KEY使用 Anthropic 时必填
🔐 secretAPI_KEY
configAPI_KEYS
configAPI_KEY_AUTH_ENABLED
configAPI_KEY_HEADER_NAME
configAPI_RATE_LIMIT_PER_MIN
configBENCH_CONCURRENCY
configBENCH_RUNS
configBENCH_RUNS_PER_LEVEL
configBUN_ENV
configBUN_TEST
configCRITICAL_AGENTS关键 Agent 列表(默认 risk,governance,systems)
configFAIL_ON_CRITICAL关键 Agent 失败时中断流程(默认 true)
🔐 secretGLM_API_KEY
configGLM_BASE_URL
configGLM_MAX_RETRIES
configGLM_MODEL
configGLM_TIMEOUT
configLLM_MAX_TOKENS最大输出 token(默认 4096)
configLLM_MODEL模型名称(默认 claude-3-5-sonnet-20241022)
configLLM_PROVIDERauto anthropic mock(默认 auto)
configLLM_TIMEOUT_MSLLM 超时毫秒数(默认 60000)
configLOG_LEVEL
configMAX_CONCURRENT
configMAX_RETRIES
configMAX_TOKENS
configMONTHLY_BUDGET
🔐 secretOPENAI_API_KEY
configRETRY_BASE_DELAY_MS
configRETRY_MAX_DELAY_MS
configTEST
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

5/5 tools missing one or more hints — reasoning (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); query_agent (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); validate_model (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

Only 0/5 tool handlers declare input schemas (0%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

Only 2/5 tool handlers wrap calls in try/catch (40%)

Wrap each tool handler body in try/catch and return a structured error response.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Shell command execution

1 child_process call — runs shell commands

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Dependency freshness

1/6 production deps stale: zhipuai-sdk-nodejs-v4@2024-03-20 (2.2y)

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/starlink-awaken/socialguessskills)](https://m8ven.ai/mcp/starlink-awaken/socialguessskills)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: d27bf5b7dcc892533db75744685f1b943eb9252d
code hash: 4f8247aabdafcc320bc7ecf495edd28197c0defdd64ef69b817b784570dfe88f
verified: 6/12/2026, 11:26:58 AM
view raw JSON →
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