red-team-llm-app SKILL.md skillB
red-team-llm-app 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/red-team-llm-app@git:20260705.2cc0ac5Pins git:20260705.2cc0ac5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- contextjet-ai/awesome-llm-observability
- Path
skills/red-team-llm-app/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260705.2cc0ac5, committed Jul 5, 2026
- Size
- 4,112 bytes
- Repository stars
- 45
- License
- a license file GitHub does not identify
Use this to adversarially test an LLM/agent app before attackers do - prompt injection, jailbreaks, data exfiltration, tool misuse, and unsafe output. Trigger on "red team my LLM", "test for prompt injection", "is my agent secure", "jailbreak testing", "security review of my AI app", especially before shipping anything customer-facing or with tools/data access. Test systematically against the known attack classes, not ad-hoc.
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
# Red-team an LLM app
Red-teaming is structured adversarial testing: try to make the app misbehave, on purpose, so you find the holes before users or attackers do. Cover the known attack classes systematically rather than trying a few clever prompts.
## Why LLM apps are attackable
LLMs process instructions and data in the **same channel** with no hard separation, so an attacker can smuggle input the model treats as a new instruction. That single property is behind most of the attack classes below, and it is why "just prompt it not to" is not a real defense.
## Test these attack classes (OWASP LLM Top 10, prioritized)
1. **Direct prompt injection** - user input that overrides the system prompt ("ignore previous instructions and..."). The #1 risk.
2. **Indirect prompt injection** - malicious instructions hidden in *retrieved* content (a web page, PDF, email, RAG doc) that the model then follows. The dangerous one for agents with tools/browsing.
3. **Jailbreaks** - roleplay/obfuscation/encoding tricks to bypass safety ("you are DAN", base64, translation).
4. **Sensitive data disclosure** - getting the model to leak the system prompt, secrets, other users' data, or PII.
…Read the whole file at its exact version.
How to install
mdr add contextjet-ai/awesome-llm-observability/red-team-llm-app@sha256:7bded2b3539b707cThe 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_4v7ibuifoijgrgyi)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 5, 2026.
Audit of the latest version
- fail: No prompt-injection phrasing (matched: ignore previous instructions)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4112 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 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
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
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_4v7ibuifoijgrgyi GET https://markdownregistry.com/api/v1/resolve?ref=contextjet-ai/awesome-llm-observability/red-team-llm-app GET https://markdownregistry.com/api/v1/blob/7bded2b3539b707c6dac8dbd1f63778f5be388f11df5afa82b5c0dbad0de3240
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.