detect-hallucinations SKILL.md skillA
detect-hallucinations from contextjet-ai/awesome-llm-observability is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add contextjet-ai/awesome-llm-observability/detect-hallucinations@git:20260705.2cc0ac5Pins git:20260705.2cc0ac5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- contextjet-ai/awesome-llm-observability
- Path
skills/detect-hallucinations/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260705.2cc0ac5, committed Jul 5, 2026
- Size
- 3,645 bytes
- Repository stars
- 45
- License
- a license file GitHub does not identify
Use this to detect when an LLM is making things up, so you can flag or block confident-but-wrong answers before users see them. Trigger on "detect hallucinations", "is the model making this up", "flag unreliable answers", "hallucination check", "confidence scoring for LLM output", or hardening a RAG/QA system. Pick a method that matches whether you have reference context or not.
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
# Detect LLM hallucinations Hallucination detection scores how likely an answer is fabricated, so you can flag, block, or ask-for-review before it reaches a user. There is no single detector; pick by whether you have a ground-truth/context to check against. ## Choose a method by what you have **You have retrieved context (RAG / QA):** check **faithfulness / groundedness** - is every claim in the answer supported by the retrieved context? - NLI/entailment: run each answer sentence against the context with an entailment model; unsupported sentences are suspect. - LLM-as-a-judge: ask a strong model "is this answer fully supported by the context? list any unsupported claims." Cheap, effective, calibrate it (see `add-llm-evals`). **You have no reference (open-ended generation):** use **consistency across samples** - a model that knows the answer says the same thing across re-samples; a hallucinating model varies. - **Self-consistency (SelfCheckGPT-style):** sample the answer N times; measure agreement. High disagreement = likely hallucination. …
Read the whole file at its exact version.
How to install
mdr add contextjet-ai/awesome-llm-observability/detect-hallucinations@sha256:2ae65529c62a4402The line at the top of this page pins the label git:20260705.2cc0ac5, 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_oceiutrl7ma4lt3o)
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Versions
The registry has recorded 1 version of this file, committed on Jul 5, 2026.
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 (3645 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
contextjet-ai/awesome-llm-observability · 45 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oceiutrl7ma4lt3o GET https://markdownregistry.com/api/v1/resolve?ref=contextjet-ai/awesome-llm-observability/detect-hallucinations GET https://markdownregistry.com/api/v1/blob/2ae65529c62a4402f7ec8d5890a7b27fd239d17c7d8f8af9af5d1f2e7b52b4b0
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.