giskard-llm SKILL.md skillA
giskard-llm from testland/qa is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add testland/qa/giskard-llm@git:20260724.d4db756Pins git:20260724.d4db756 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- testland/qa
- Path
plugins/qa-llm-evaluation/skills/giskard-llm/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260724.d4db756, committed Jul 24, 2026
- First version recorded
- Jun 2, 2026
- Size
- 6,090 bytes
- Repository stars
- 11
- License
- MIT
Authors and runs Giskard LLM scans - adversarial test-case generation for LLM applications via `giskard.scan(model)` covering 7 vulnerability categories (hallucination, harmful_content, prompt_injection, sensitive_information_disclosure, stereotypes, robustness, basic_sycophancy); wraps any callable model behind `giskard.Model(model_predict, model_type="text_generation", ...)`; emits HTML report. Use when the user needs adversarial / red-team coverage on top of functional eval suites.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# giskard-llm ## Overview [gk-gh]: https://github.com/Giskard-AI/giskard Distinct from functional eval frameworks (Promptfoo, DeepEval, Ragas), Giskard's value (per [gk-gh][gk-gh]) is **adversarial test generation** - auto-generates inputs designed to break LLMs along documented vulnerability dimensions, then reports findings in a triageable HTML report. **Important version note (2026-05-06):** per [gk-gh][gk-gh], "Giskard v2 is no longer actively maintained. The current v3 focus is on `giskard-checks` for evaluations, while vulnerability scanning and RAG evaluation still rely on Giskard v2." This skill targets v2 LLM scanning; pin `>2,<3` per the install command. ## When to use - The team needs a red-team / adversarial pass before shipping an LLM feature. - Functional evals (Promptfoo / DeepEval / Ragas) pass but the team wants to surface vulnerabilities beyond the test corpus. - Compliance-driven assurance needs reportable evidence of hallucination / harmful-content / prompt-injection coverage. - Product owners need an HTML report (not raw test output) to triage and sign off. ## Step 1 - Install Per [gk-gh][gk-gh] (v2-pinned): ```bash …
Read the whole file at its exact version.
How to install
mdr add testland/qa/giskard-llm@sha256:f9a66c64caf13decThe line at the top of this page pins the label git:20260724.d4db756, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_7fsetkc5tez3nqwr)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 2, 2026 and Jul 24, 2026, about one every 13 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260724.d4db756 latest | 2026-07-24 | d4db756 | 6,090 B | A | view · diff |
| git:20260718.ab29907 | 2026-07-18 | ab29907 | 6,193 B | A | view · diff |
| git:20260706.4e1409c | 2026-07-06 | 4e1409c | 6,338 B | A | view · diff |
| git:20260603.21eda0e | 2026-06-03 | 21eda0e | 6,355 B | A | view · diff |
| git:20260602.ce520f0 | 2026-06-02 | ce520f0 | 6,369 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6090 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
testland/qa · 11 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7fsetkc5tez3nqwr GET https://markdownregistry.com/api/v1/resolve?ref=testland/qa/giskard-llm GET https://markdownregistry.com/api/v1/blob/f9a66c64caf13deca9758ebef4c3ab124a8273cccd520c962e7f6f362268e3f2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.