dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
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Critical
Do not install without reviewing
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tessl review fix ./backend/cli/skills/llm-tools/dspy/SKILL.mdSecurity
2 findings: 1 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E006: Malicious code pattern detected in skill scripts.
What this means
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
Why it was flagged
The content includes patterns that execute or eval code derived from external/LM input (ProgramOfThought + unsandboxed eval), which enables remote code execution abuse if misused.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The README examples show passing api_key="your-api-key" directly into LM client constructors (Anthropic/OpenAI), which encourages embedding secrets verbatim in code rather than using environment variables or secure credential stores, creating an exfiltration risk.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
This skill’s runtime workflow (DSPy RAG / agent modules as described) can ingest **outsider-authored web content** into the LLM context via retrieval/tool outputs such as `dspy.Retrieve(...).passages` feeding the `context` field in `ChainOfThought`-based generation.
- Repository
- synthetic-sciences/openscience
- Commit
52845c3
- Audited
- Security analysis
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