byted-airesearch-survey

byted-airesearch-survey is a skill for Codex from bytedance/agentkit-samples. It costs 91 tokens per session (2,456 once invoked), scanned B, original, Apache-2.0.

A workflow for running AI research surveys through Volcengine's research service, covering planning, questionnaires, interviews, execution, progress, and results.

In plain words
What is it for?
Use it for concept testing, audience research, questionnaire drafting, interview-guide generation, and querying an active or completed research task.
Why use it?
It provides a way to carry a research task from an initial request through confirmation, execution, progress checks, and final results.

Skill for Codex ✓ vendor

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; built for openclaw.

Good fit Use it for concept testing, audience research, questionnaire drafting, interview-guide generation, and querying an active or completed research task.

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Install with agentmods
npx agentmods add skills/bytedance/agentkit-samples/byted-airesearch-survey
About the project

bytedance/agentkit-samples is a collection of examples and tutorials for Volcengine AgentKit, an AI-agent development platform for building, deploying, and operating agent applications. Developers use the samples to learn agent creation, multi-agent collaboration, memory, retrieval, MCP integrations, media generation, customer service, and other workflows. The catalogue skills provide agent workflows based on these examples.

bytedance/agentkit-samples · 450 stars · on GitHub

Install

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.

Any agent
npx skills add bytedance/agentkit-samples --skill byted-airesearch-survey
Clone the repo
git clone --depth 1 https://github.com/bytedance/agentkit-samples

Made for: Codex.

Wrote 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.

agentmods badge for byted-airesearch-survey

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-airesearch-survey/github.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-airesearch-survey)
Your own site
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-airesearch-survey"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-airesearch-survey/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.

agentmods 80×15 button for byted-airesearch-survey

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-airesearch-survey"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-airesearch-survey.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,456 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 26
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 66
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Data Exfiltration · line 80
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.02456
Opus 5 $0.00046 $0.01228
Sonnet 5 $0.00018 $0.00491
Haiku 4.5 $0.00009 $0.00246

Measured 11d ago against content hash 145eb3b6558e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

byted-airesearch-survey 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/ai_research_common.py, scripts/ai_research_message.py, scripts/send_survey_message.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

> 我直接手动拼了请求参数调用接口:curl -X POST "https://..." -H "x-api-key: ..." -d '{"message": "..."}'

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. Never bypass `scripts/send_survey_message.py` by manually constructing HTTP requests, curl commands, or calling any API endpoint directly. This wrapper is the only interface to the backend — there are no alternative c
skills/byted-airesearch-survey/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Volcengine AI Research Survey

Use this skill to run a real conversational AI Research survey workflow backed by ABCompass.

When to use

Use this skill when the user wants to:

  • start a new AI research survey task
  • revise an existing research plan
  • confirm execution of a generated plan
  • check the current plan, progress, or final result
  • run concept testing, audience design, questionnaire drafting, or interview-guide generation as a real workflow

Do not use this skill when the user only wants:

  • generic brainstorming or ideation with no intention to run a task
  • copywriting, translation, polishing, or summarization
  • broad market discussion without asking to launch or query the AI Research workflow
  • generic platform troubleshooting unrelated to this workflow

Primary command

For every valid workflow turn, run:

python3 scripts/send_survey_message.py --message "<user message>"

This wrapper is the only user-facing entrypoint in this repository. It manages session continuity, API key binding, and production-safe sync transport on top of the canonical ai_research_message tool logic.

Core workflow

  1. Decide whether the request belongs to the AI Research survey workflow.
  2. If the request is valid, call scripts/send_survey_message.py before replying.
  3. Prefer backend reply_markdown as the user-facing answer.
  4. Treat backend presentation, next_actions, session_event, and capability_hints as the rendering contract.
  5. If the task is still running, report real progress only. Do not fabricate a finished report.

Read references only when needed:

  • references/industries.md for industry normalization guidance
  • references/status-response-rules.md for status-specific handling
  • references/user-facing-messages.md for wording consistency

Authentication

First-time use requires an API key.

Preferred input methods:

  • --api-key "<api-key>"
  • BYTED_AI_RESEARCH_SURVEY_API_KEY

If no API key is available, ask the user to create or view one at:

Read the full file on GitHub · 193 lines

Changes

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.

  1. 11d ago First seen · 193 lines · 91 tokens per session scan B 145eb3b6558e

Subscribe to this mod's changes

byted-airesearch-survey is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed yesterday), licensed Apache-2.0. It adds 91 tokens to every session and 2,456 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.