Kubernetes Network Security Audit
kubeshark/kubeshark
Hunts for compromised workloads and malicious traffic in a Kubernetes cluster by sweeping network data through Kubeshark MCP, mapped to MITRE ATT&CK.
Guides package selection, security review, and troubleshooting in conda workflows using Anaconda MCP.
$ npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Kilo-Org/kilo-marketplace anaconda-intelligence --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/anaconda-intelligence .claude/skills/anaconda-intelligence && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "anaconda-intelligence" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/anaconda-intelligence into .claude/skills/anaconda-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anaconda-intelligence", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/anaconda-intelligenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Kilo-Org/kilo-marketplace anaconda-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/anaconda-intelligence .agents/skills/anaconda-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "anaconda-intelligence" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/anaconda-intelligence into .agents/skills/anaconda-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anaconda-intelligence", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Kilo-Org/kilo-marketplace anaconda-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/anaconda-intelligence .cursor/skills/anaconda-intelligence && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "anaconda-intelligence" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/anaconda-intelligence into .cursor/skills/anaconda-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anaconda-intelligence", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Kilo-Org/kilo-marketplace.git --path skills/anaconda-intelligence--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Kilo-Org/kilo-marketplace anaconda-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/anaconda-intelligence .gemini/skills/anaconda-intelligence && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "anaconda-intelligence" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/anaconda-intelligence into .gemini/skills/anaconda-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anaconda-intelligence", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Kilo-Org/kilo-marketplace anaconda-intelligenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/anaconda-intelligence .github/skills/anaconda-intelligence && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "anaconda-intelligence" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/anaconda-intelligence into .github/skills/anaconda-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anaconda-intelligence", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Kilo-Org/kilo-marketplace anaconda-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/anaconda-intelligence .opencode/skills/anaconda-intelligence && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "anaconda-intelligence" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/anaconda-intelligence into .opencode/skills/anaconda-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anaconda-intelligence", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
anaconda-intelligenceGuides package selection, security review, and troubleshooting in conda workflows using Anaconda MCP.
Anaconda Intelligence is an agent skill from Kilo-Org/kilo-marketplace. Guides package selection, security review, and troubleshooting in conda workflows using Anaconda MCP. Use when choosing dependencies, preparing conda environment changes, checking organization-approved channels or package policies, investigating package vulnerabilities, or diagnosing conda/mamba installation and solver errors.
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires a configured Anaconda MCP connection. Local environment inspection and package changes require separate tools.
It sits in Security, covering Security review. It works with Model Context Protocol. The repository describes itself as: Kilo Marketplace - A curated collection of Skills, MCP Servers, and Modes for enhancing AI agent capabilities across the Kilo ecosystem—including Kilo Code (VS Code extension)… The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ff51758. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires a configured Anaconda MCP connection. Local environment inspection and package changes require separate tools.
From compatibility in the SKILL.md frontmatter.
Anaconda Intelligence loads about 3.9k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 1,998 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Kilo-Org/kilo-marketplace at commit ff51758, republished under its MIT licence (© Kilo-Org). 1,998 words, ~3,897 tokens.
.claude/skills/anaconda-intelligence/SKILL.md (or your agent's skills folder).Use Anaconda MCP to ground package decisions in current package metadata, organizational context, and security findings. The MCP provides read-only intelligence; it does not install packages, solve environments, or enforce policy on the agent's other tools.
The tool names below are logical names. Resolve them to the actual fully qualified identifiers exposed by the configured Anaconda MCP server. Use those identifiers and their advertised schemas; do not invent a server alias, argument, error code, or tool that is not available.
If the MCP is unavailable, explain which checks cannot be performed. Continue with clearly labeled general guidance or permitted local inspection when useful, but do not claim to have verified organizational approval or security status. Do not install or reconfigure the MCP without authorization.
Use this skill for decisions requiring package or organizational intelligence. Do not make remote calls solely to explain ordinary conda syntax or perform unrelated coding tasks.
notes and any advisory returned by
the tool. Surface limitations that affect the decision. An empty notes array
does not establish that there are no risks or constraints.| User need | Default route |
|---|---|
| Evaluate a known package or proposed dependency change | package_info |
| Discover organization channels or explain a policy result | org_config, then a scoped package lookup if needed |
| Investigate vulnerabilities for a specific package version | package_security after establishing exact version and channel |
| Diagnose installation, platform, or solver errors | Classify the error; combine relevant package/org data, local evidence, and search_forum |
| Find a package from a task, import, or PyPI name | Use discovery only if an appropriate tool is exposed; validate candidates with package_info |
Reuse relevant results within the task rather than repeating calls. Refresh context when the organization, target, configuration, or requested package changes. Ask for missing information only when it would change the decision.
Use org_config when organizational channels or policies are relevant and the
context is not already known. Supply org_name when known and supported by the
exposed schema. Do not treat this call as a probe for security entitlement.
If org_choice_required is returned, ask the user to choose from available_orgs.
Preserve the selected organization in subsequent calls that accept org_name.
An organization selection affects MCP context; it does not configure local conda.
Read channel policy assignments and relevant restrictions. Do not assume that all visible channels are configured locally or that all configured channels have the same policy. Preserve explicitly requested lookup scope. If a tool's default scope is unclear, establish the intended scope before making a policy-sensitive recommendation; do not silently interpret an unrestricted result as org-scoped.
package_info with the exact package name. Preserve requested version,
channel, platform, and organizational scope. Omitting version requests
latest according to the tool; it does not request the best compatible version.notable_constraints, build_variants, CVE summary, and relevant notes when
present. The python_version argument adds a compatibility note; it does not
filter results. Treat these fields as summarized metadata, not a solver result.noarch
packages and build variants. Do not infer that every listed platform supports
every version, Python version, or accelerator configuration. Verify the
relevant combination before asserting support.For changes to an existing environment, preserve pins and assess the proposed transaction before execution. Do not infer transitive dependency impact from a single package's summarized metadata.
name, version, and channel. These are required
by package_security; do not query a different version and present its results
as an assessment of the installed package. Pass the target platform and
org_name when relevant and supported.reported denotes unreviewed data in the described contract;
do not translate it into false or irrelevant. active is an Anaconda status,
not proof of exploitation. Explicit platform clearing applies only to the
finding and platform covered by that evidence.fix_version as an available candidate satisfying a cleared MatchSpec
relative to the queried version, not an instruction to install latest. A fix
for one CVE is not proof that all findings are resolved. Null fix data can mean
no available matching candidate or unavailable curated remediation data.The security response excludes some statuses, including globally cleared,
disputed, and mitigated findings. Do not present its returned list as a complete
historical vulnerability inventory. Distinguish any cleared_cve_count from the
findings requiring assessment.
For users without detailed security access, explain the available aggregate counts and their limitations. This is a boundary on what the MCP exposes, not a ban on legitimate public advisory research. Clearly label external findings; do not present them as Anaconda-curated or organization-specific assessments.
package_info for exact-name availability and constraints, or org_config
for organizational channel/policy questions. A package appearing on a different
channel does not establish that the failing local command could access it.search_forum for error messages and recurring symptoms when community
experience would help. Submit a focused, sanitized query, not entire logs by
default. Use only filters exposed by the current tool schema.package_info is an exact-name lookup, not semantic search. Do not assume an
import name, PyPI distribution name, and conda package name are identical.
If find_package or another suitable discovery tool is actually exposed, follow
its current schema and validate selected candidates with package_info. Do not
assume this capability exists merely because an older specification mentions it.
Without discovery, use user-provided names or clearly labeled candidate names
from relevant evidence, then validate them. Do not fabricate a canonical mapping,
claim exhaustive alternatives, or require deferred fields such as alternatives
or version_status.
| Observed condition | Response |
|---|---|
org_choice_required | Ask for selection from returned available_orgs; preserve that choice. |
no_subscription | Explain the restriction reported for that operation; use available data without inferring other entitlements. |
subscription_required | Explain the detailed-data limitation once and continue with appropriately qualified summaries. |
| Missing package, version, or channel | Follow the actual returned error and scope; verify inputs before changing them. Do not invent a recovery contract. |
| Authentication or connection failure | Explain the connection problem; do not misclassify it as subscription denial or a clean security result. |
| Transient service failure | Retry only when appropriate to the returned guidance; avoid repeated identical failures. |
Do not infer an entitlement from the absence of a policy field. Do not advertise upgrades repeatedly or promise that a subscription supplies data the tool does not guarantee. If schema or response behavior differs from expectations, report the limitation and avoid unsupported claims.
When the user requests an actual environment change, use separate authorized local tools. Identify the target environment, review the proposed transaction and channel provenance, and obtain any required confirmation before mutation. Afterward, verify the installed versions and relevant runtime behavior. Report whether work was recommended, attempted, or verified; a successful MCP lookup is not evidence of a successful installation.
package_info notes an alternative, but
the project uses an org-configured channel. Explain the difference; retain the
existing installation scope unless the applicable policy and authorization
permit a change. Do not silently add the alternative channel.Keep the answer proportional to the task. Include the recommendation or diagnosis, the scope checked, the decisive evidence, and remaining limitations. Before finalizing, verify:
© Kilo-Org, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/anaconda-intelligence of Kilo-Org/kilo-marketplace.
Open the folder on GitHubat commit ff51758
Anaconda Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Anaconda Intelligence this skillKilo-Org/kilo-marketplace | 190 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Kubernetes Network Security Auditkubeshark/kubeshark | 12k | — | ~7.3k | Automated safety check: Notes | Apache-2.0 | |
| Security Reviewktnyt/cclsp | 675 | — | ~565 | Automated safety check: Pass | MIT | |
| Ecs Operation Reviewaws/tools-for-devops-agent | 100 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Ripwire Security Scanredhat-et/ripwire | 2.4k | — | ~2.8k | Automated safety check: Warn | Apache-2.0 | |
| Azure Compliancemicrosoft/GitHub-Copilot-for-Azure | 255 | 2 repos | ~997 | Automated safety check: Pass | MIT |
kubeshark/kubeshark
Hunts for compromised workloads and malicious traffic in a Kubernetes cluster by sweeping network data through Kubeshark MCP, mapped to MITRE ATT&CK.
ktnyt/cclsp
Request a security expert assessment for code changes that touch child process spawning, file system access, configuration loading, or environment variable handling.
aws/tools-for-devops-agent
Performs a comprehensive Amazon ECS operations review across the 6 review pillars (Resiliency & HA, Observability, Security, Operations, Performance, Additional Analysis) using read-only AWS APIs…
redhat-et/ripwire
Security review: (1) vet an untrusted SKILL.md or .mcp.json BEFORE installing it — the injection/exfiltration scanner; CRITICAL blocks the install; (2) audit code on an untrusted-input path (a…
microsoft/GitHub-Copilot-for-Azure
Run Azure compliance and security audits with azqr plus Key Vault expiration checks.
ruvnet/ruflo
Run full security scans on the codebase using Ruflo security tools.
Kilo-Org/kilo-marketplace
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Kilo-Org/kilo-marketplace
Creates, inspects, edits and runs Jupyter notebooks, scaffolding experiment or tutorial notebooks from templates and preferring a Jupyter MCP server over raw JSON edits.
Kilo-Org/kilo-marketplace
Takes a plain-language dashboard request through brand setup, data exploration, planning, an interactive HTML mock and a Tableau implementation spec.
Kilo-Org/kilo-marketplace
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Kilo-Org/kilo-marketplace
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Kilo-Org/kilo-marketplace
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Works with
Categories
Guides package selection, security review, and troubleshooting in conda workflows using Anaconda MCP. Anaconda Intelligence is an agent skill from Kilo-Org/kilo-marketplace. Guides package selection, security review, and troubleshooting in conda workflows using Anaconda MCP.
Anaconda Intelligence fits situations like: choosing dependencies; preparing conda environment changes; checking organization-approved channels; package policies.
Run `npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a claude-code`. Or copy the skill folder (skills/anaconda-intelligence in Kilo-Org/kilo-marketplace) into .claude/skills/anaconda-intelligence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a codex`. Or copy the skill folder (skills/anaconda-intelligence in Kilo-Org/kilo-marketplace) into .agents/skills/anaconda-intelligence in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kilo-Org/kilo-marketplace --skill anaconda-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/anaconda-intelligence, .gemini/skills/anaconda-intelligence, .github/skills/anaconda-intelligence and .opencode/skills/anaconda-intelligence in your project.
SKILL.md names no scripts, command-line tools or credentials: Anaconda Intelligence is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires a configured Anaconda MCP connection. Local environment inspection and package changes require separate tools..
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Anaconda Intelligence is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Anaconda Intelligence: Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), Security Review (ktnyt/cclsp, 675 stars), Ecs Operation Review (aws/tools-for-devops-agent, 100 stars) and Ripwire Security Scan (redhat-et/ripwire, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Kilo-Org (a GitHub organization) maintains it in Kilo-Org/kilo-marketplace, which has 190 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on September 28, 2026.
Source: Kilo-Org/kilo-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.