speckit-tasks
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
60
71%
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Critical
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Fix and improve this skill with Tessl
tessl review fix ./.claude/skills/speckit-tasks/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 skill explicitly instructs running a repository PowerShell script and to automatically execute commands defined in .specify/extensions.yml (treating hooks without conditions as executable and emitting EXECUTE_COMMAND), which enables arbitrary remote code execution via project-controlled files and can be abused as a backdoor.
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 skill instructs the agent to read fields from .specify/extensions.yml (like `command` and `prompt`) and print them verbatim (e.g., `EXECUTE_COMMAND: {command}` and `Prompt: {prompt}`), which could directly expose API keys or other secrets embedded in those fields.
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: the required workflow reads outsider-authored design documents from FEATURE_DIR (plan.md, spec.md, and optional data-model.md/contracts/research.md/quickstart.md), and also reads optional extension hooks from `.specify/extensions.yml`; since these files are not shown as operating-user-authored, their contents (including free-form fields like descriptions/prompts) can be injected into the LLM context during task generation.
- Repository
- unoplatform/uno
- Commit
5927220
- Audited
- Security analysis
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