Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.
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Low-risk findings worth noting
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tessl review fix ./.claude/skills/context-mode-ops/SKILL.mdLow
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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.
At runtime, the skill’s required workflow ingests outsider-authored free text from GitHub issue/PR bodies, comments, and diffs via `gh issue view` / `gh pr view` / `gh pr diff` (used in the triage/review workflows), which is then placed into the agent’s LLM context for analysis and claim verification.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill's Auto-recovery and refs/ protocol explicitly runs git clone at runtime to fetch upstream repos and then uses those repo files as the mandatory evidence base that directly drives agent verification/prompts (e.g., "git clone --depth 1 https://github.com/openai/codex refs/platforms/codex" — URL flagged: https://github.com/openai/codex), so remote GitHub content is fetched at runtime and used to control agent instructions.
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