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.
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 bytedance/agentkit-samples --skill byted-util-volcengine-cloud-detectgit clone --depth 1 https://github.com/bytedance/agentkit-samplesWrote 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/bytedance/agentkit-samples/byted-util-volcengine-cloud-detect)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-util-volcengine-cloud-detect"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-util-volcengine-cloud-detect.svg" alt="Measured on agentmods" 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 | $0.00134 | $0.02075 |
| Opus 5 | $0.00067 | $0.01038 |
| Sonnet 5 | $0.00027 | $0.00415 |
| Haiku 4.5 | $0.00013 | $0.00208 |
Grade A, and why
byted-util-volcengine-cloud-detect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Volcengine Cloud Detect
Interact with Volcengine Cloud Detect API (云拨测) through natural language. All API calls are handled via scripts/volc_detect.py. For detailed API parameters, read references/api_docs.md.
Prerequisites
Volcengine credentials are required:
VOLC_ACCESSKEY: Access KeyVOLC_SECRETKEY: Secret Key
Before executing any command, check whether both credentials exist in environment variables:
test -n "$VOLC_ACCESSKEY" && test -n "$VOLC_SECRETKEY"
If either value is missing, ask the user to provide the missing AK/SK, then write them to the current shell environment and persist them to the user's shell profile:
export VOLC_ACCESSKEY="USER_PROVIDED_ACCESS_KEY"
export VOLC_SECRETKEY="USER_PROVIDED_SECRET_KEY"
SHELL_PROFILE="${ZDOTDIR:-$HOME}/.zshrc"
grep -q '^export VOLC_ACCESSKEY=' "$SHELL_PROFILE" 2>/dev/null \
&& sed -i '' 's|^export VOLC_ACCESSKEY=.*|export VOLC_ACCESSKEY="USER_PROVIDED_ACCESS_KEY"|' "$SHELL_PROFILE" \
|| printf '\nexport VOLC_ACCESSKEY="USER_PROVIDED_ACCESS_KEY"\n' >> "$SHELL_PROFILE"
grep -q '^export VOLC_SECRETKEY=' "$SHELL_PROFILE" 2>/dev/null \
&& sed -i '' 's|^export VOLC_SECRETKEY=.*|export VOLC_SECRETKEY="USER_PROVIDED_SECRET_KEY"|' "$SHELL_PROFILE" \
|| printf 'export VOLC_SECRETKEY="USER_PROVIDED_SECRET_KEY"\n' >> "$SHELL_PROFILE"
Never run scripts/volc_detect.py until both VOLC_ACCESSKEY and VOLC_SECRETKEY are available.
Default Parameters for CreateTask
When user creates a task without specifying all parameters, use these defaults:
| Parameter | Default Value | Notes |
|---|---|---|
| ProjectName | default |
Always use unless user specifies |
| Type | 1 (HTTP(S)) |
Task type |
| Name | {current_time}_claw_detect |
Format: YYYYMMDD_HHMMSS_claw_detect |
| Address | (required) | Must ask user if not provided |
| NodeCount | 5 |
Samples per line |
| IntervalSeconds | 60 |
Detection frequency |
| FinishTime | current_time + 90 seconds |
1.5 minutes after creation |
| LineIdList | (required) | Must obtain from ListNodes |
What ships with it
3 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.
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.
- 3d ago First seen · 188 lines · 134 tokens per session scan A 5595a90aece1
byted-util-volcengine-cloud-detect is a skill published in the GitHub repository bytedance/agentkit-samples (449 stars, last pushed 2d ago), licensed Apache-2.0. It adds 134 tokens to every session and 2,075 once invoked, about $0.0007 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 2026-09-03.
Other skills, from other repositories
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
ensembl-database
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
sidewinder-rattlesnake
Adversary-emulation profile for SideWinder (G0121 / Rattlesnake / T-APT-04 / Razor Tiger), India's suspected state-sponsored cyber-espionage actor.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
sn-image-imitate
An image tool that creates new content while following the visual style and layout of a single reference image.