Borrowing it
Nothing to install: this file belongs to AlexanderMattTurner/agent-glovebox. 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/AlexanderMattTurner/agent-glovebox/main/.claude/skills/run-control-tower/SKILL.mdgit clone --depth 1 https://github.com/AlexanderMattTurner/agent-gloveboxWrote 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/skills/alexandermattturner/agent-glovebox/run-control-tower)<a href="https://agentmods.dev/skills/alexandermattturner/agent-glovebox/run-control-tower"><img src="https://agentmods.dev/badge/skills/alexandermattturner/agent-glovebox/run-control-tower/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/skills/alexandermattturner/agent-glovebox/run-control-tower"><img src="https://agentmods.dev/badge/skills/alexandermattturner/agent-glovebox/run-control-tower.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
- medium Prompt Injection · line 23 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Output Handling · line 100 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00149 | $0.08773 |
| Opus 5.5 | $0.00060 | $0.03509 |
| Sonnet 5.5 | $0.00030 | $0.01755 |
| Haiku 4.5 | $0.00015 | $0.00877 |
Grade A, and why
run-control-tower scanned grade A with 1 finding 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 15d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **`allow_hosts`**: the tuned arm's per-env EXTRA grant, and the operator's alone. **A `guarded-tuned` cell must name at least one host — `ct_inspect_e2e_plan.py` refuses one that names none**, because a tuned cell open How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run Control Tower (CT) evals
The Control Tower / LinuxArena benchmark measures glovebox's marginal defense: attack-success reduction (ΔS) and usefulness cost (ΔU), bare vs guarded. It is external, independently authored (linuxarena/control-tower, pinned by SHA in evals/control_tower/requirements.txt), and paid — every cell drives a real untrusted agent loop plus (guarded) a per-call monitor.
Which harness to run
Every CT harness lives in one workflow, .github/workflows/evals.yaml, selected by its suite: dispatch input. ct-render-tier.yaml is a cheap advisory guard on CT inputs, never a harness, so no suite: reaches it.
suite: input |
What it is | Needs KVM? | Cost |
|---|---|---|---|
ct-inspect-e2e |
LIVE end-to-end: real CT env under the real Kata microVM (build → boot → egress-deny → agent → approver → CT scorer). ΔS corroborated by the policy log. Driven by run_vm_real.py. |
Yes (hosted ubuntu-latest exposes /dev/kvm) |
High (microVM boots + trajectories + monitor) |
ct-inspect-seams |
Cheap probe: install inspect+CT, dump the API surface, run seam unit tests. No KVM, no spend, no VM. The suite: default. |
No | ~free |
breakout-ctf |
Live-fire breakout CTF — a different harness and a different question, owned by the run-ctf skill. Nothing else here applies to it. |
Yes | paid |
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.
- 15d ago Changed 802a053b0578
- 18d ago Changed 97b4e105f2b1
- 21d ago Changed edfea5681c3d
- 25d ago Changed cb99a8aa250b
- 26d ago Changed 755c64b26c73
- 27d ago Changed fae3e14a6091
- 28d ago Changed 6953850956a4
- 1mo ago Changed f89d9e8fe04e
- 1mo ago Changed · -1 lines · -1 tokens per session e1ccb471e9c1
- 1mo ago First seen · 175 lines · 150 tokens per session scan A 5d9360db5cd5
run-control-tower is a skill published in the GitHub repository AlexanderMattTurner/agent-glovebox (68 stars, last pushed today), licensed Apache-2.0. It adds 149 tokens to every session and 8,773 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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