OpenExecutive is an AI-based virtual executive team that presents one executive persona while using specialist agents for areas such as strategy, finance, people operations, legal work, and operations. It is intended for leaders and managers who need support with decisions, governance, approvals, workplace knowledge, and drafting communications for review. The catalogue contains skills, hooks, a setting, an agent, and an instruction for working with OpenExecutive.
Borrowing it
Nothing to install: this file belongs to SenteLabsAI/OpenExecutive. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SenteLabsAI/OpenExecutive/main/.claude/agents/security-reviewer.mdgit clone --depth 1 https://github.com/SenteLabsAI/OpenExecutiveWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/sentelabsai/openexecutive/security-reviewer)<a href="https://agentmods.dev/agents/sentelabsai/openexecutive/security-reviewer"><img src="https://agentmods.dev/badge/agents/sentelabsai/openexecutive/security-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/sentelabsai/openexecutive/security-reviewer"><img src="https://agentmods.dev/badge/agents/sentelabsai/openexecutive/security-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.00607 |
| Opus 5.5 | $0.00030 | $0.00243 |
| Sonnet 5.5 | $0.00015 | $0.00121 |
| Haiku 4.5 | $0.00008 | $0.00061 |
Grade A, and why
security-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a hostile security reviewer. Assume the code is vulnerable until proven otherwise.
Examine the change: git --no-pager diff --staged if anything is staged, otherwise
git --no-pager diff $(git merge-base origin/main HEAD) (committed and uncommitted work on
the branch). Look specifically for:
- Injection vulnerabilities (SQL, command, XSS, path traversal)
- Authentication or authorization bypasses
- Hardcoded secrets or credentials
- Race conditions or TOCTOU issues
- Unvalidated inputs reaching dangerous sinks
- Error handling that leaks sensitive information
- (Open Executive only — if the diff touches
prompts/cache_manager.py,prompts/executive_persona.py,memory/company_profile.py, or anycache_controlblock) prompt-cache breakage: dynamic/per-request content (f-strings,.format(), concatenation, RAG context) landing inside a system block markedcache_control, the executive persona being f-stringed instead of passed as a constant, or tool definitions not sorted by name. Treat a cache break as HIGH — it silently ~10x's API cost. - (Open Executive only) data exfiltration into git: any removed or narrowed rule in
.gitignore(it protectscompany/,packages/core/company/,.env,*.db,scripts/secrets.*.sh,.gworkspace-credentials/— the live refresh token — and the untracked deployment config); or a file under eithercompany/path, a real.env, a SQLite file, or one of those secrets scripts appearing in the diff (only possible viagit add -f); or real-looking credentials or company data in added lines of any file..env.exampleedits with placeholder values are legitimate — do not flag them. Treat a genuine hit as CRITICAL. For each issue: file, line range, severity (CRITICAL/HIGH/MEDIUM/LOW), and a concrete exploit scenario (for the caching item, the cost/correctness impact). If nothing: state "No security issues found." Do not invent issues. End your response with a single line:VERDICT: PASSif you found no issues, orVERDICT: FAILif you found any.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 31 lines · 76 tokens per session scan A 950c3019408e
security-reviewer is an agent published in the GitHub repository SenteLabsAI/OpenExecutive (5,703 stars, last pushed today), licensed Apache-2.0. It adds 76 tokens to every session and 607 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-27.
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