tech-search
Self-contained deep tech research. WebSearch + WebFetch + Haiku workers. Pipeline: Query > Decompose > Parallel Search (Haiku) > Evaluate > Synthesize > Document. Zero external dependencies. MCPs optional. Salva em docs/research/{YYYY-MM-DD}-{slug}/.
60
68%
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High
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tessl review fix ./.claude/skills/tech-search/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
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 worker prompt explicitly instructs the agent to "preserve code examples EXACTLY as found" and return them verbatim in JSON, which would force the LLM to include any API keys/secrets found in source code or pages in its output.
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
Yes: in Phase 3 (Parallel Search), the required workflow performs runtime WebSearch/WebFetch on externally supplied URLs/pages and then injects the extracted page text (structured markdown/code/examples) back into the workers’/main model LLM context for summarization and aggregation—an outsider-authored public web content source.
- Repository
- SynkraAI/aiox-core
- Commit
0b32b68
- Audited
- Security analysis
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