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Detecting Data And Model Poisoning

Category: General  ·  Sub-category: general-misc  ·  Last updated:
type:review
Identify poisoned training data and backdoored ML models across the pipeline using IBM's Adversarial Robustness Toolbox (activation clustering, spectral signatures, trigger reconstruction), Cleanlab for label-quality issues, and supply-chain checks like weight-hash verification and safetensors enforcement. Use before training or deploying on third-party/user-contributed data or downloaded checkpoints, during ML supply-chain reviews, or when investigating model misbehavior tied to specific inputs (suspected backdoor trigger).
Security AStatic scan found no risk patternsHow grading works ›

About this skill (catalog notes)

Detecting Data And Model Poisoning includes a dedicated installation section; 7 code blocks for direct copy-paste. The SKILL.md runs to about 1,266 words, in the catalog's typical mid-range.

License
MIT
Original author
mahipal
Indexed lastmod
Catalog position
General · general-misc
Indexed related skills
10

How Detecting Data And Model Poisoning fits the catalog

Detecting Data And Model Poisoning sits in the General category under the general-misc sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

What this skill does

Detecting Data And Model Poisoning is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/detecting-data-and-model-poisoning/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Detecting Data And Model Poisoning Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 186,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/detecting-data-and-model-poisoning
curl -L https://claudskills.com/skills/detecting-data-and-model-poisoning/SKILL.md \
  -o ~/.claude/skills/detecting-data-and-model-poisoning/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/detecting-data-and-model-poisoning/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/detecting-data-and-model-poisoning/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\detecting-data-and-model-poisoning\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Detecting Data And Model Poisoning Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/detecting-data-and-model-poisoning/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Detecting Data And Model Poisoning skill do?
Identify poisoned training data and backdoored ML models across the pipeline using IBM's Adversarial Robustness Toolbox (activation clustering, spectral signatures, trigger reconstruction), Cleanlab for label-quality issues, and supply-chain checks like weight-hash verification and safetensors enforcement. Use before training or deploying on third-party/user-contributed data or downloaded checkpoints, during ML supply-chain reviews, or when investigating model misbehavior tied to specific inputs (suspected backdoor trigger).
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Detecting Data And Model Poisoning skill?
Use Detecting Data And Model Poisoning when your Claude Code task falls under the General category — specifically in the general misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Detecting Data And Model Poisoning" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Detecting Data And Model Poisoning skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Detecting Data And Model Poisoning is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
mahipal. (2026). Detecting Data And Model Poisoning [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/detecting-data-and-model-poisoning/
BibTeX
@misc{detecting-data-and-model-poisoning-2026,
  author    = {mahipal},
  title     = {Detecting Data And Model Poisoning [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/detecting-data-and-model-poisoning/}
}

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Security scan

Grade A · scanned 2026-08-15 — free static scan against the OWASP Agentic Skills Top 10.

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