Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/traves-theberge/openlens/codexnpx skills add Traves-Theberge/openlens --skill codexgit clone --depth 1 https://github.com/Traves-Theberge/openlensWrote 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/traves-theberge/openlens/codex)<a href="https://agentmods.dev/skills/traves-theberge/openlens/codex"><img src="https://agentmods.dev/badge/skills/traves-theberge/openlens/codex.svg" alt="Measured on agentmods" 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 | $0.00099 | $0.00382 |
| Opus 5 | $0.00049 | $0.00191 |
| Sonnet 5 | $0.00020 | $0.00076 |
| Haiku 4.5 | $0.00010 | $0.00038 |
Grade A, and why
openlens 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 5d 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
How to run
Execute the openlens CLI to review code changes. The tool must be installed and available in PATH.
Default (staged changes)
openlens run --staged --format text
With user flags
- "review against main" →
openlens run --branch main --format text - "just check security" →
openlens run --staged --agents security --format text - "review unstaged" →
openlens run --unstaged --format text - "skip verification" →
openlens run --staged --no-verify --format text - "json output" →
openlens run --staged --format json
What it does
openlens runs multiple AI agents in parallel (security, bugs, performance, style) that analyze git diffs with full codebase access. Each agent investigates the code using read, grep, and glob tools before reporting issues with confidence levels.
Reading results
- CRITICAL — must fix before merging
- WARNING — should fix, potential problems
- INFO — style or convention suggestions
- Each issue includes file, line, severity, confidence, message, and suggested fix
Show the full output to the user. If issues are found, offer to help fix them.
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.
- 5d ago First seen · 32 lines · 99 tokens per session scan A e0e2eb88c260
openlens is a skill published in the GitHub repository Traves-Theberge/openlens (6 stars, last pushed 5mo ago), licensed MIT. It adds 99 tokens to every session and 382 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
Other skills, from other repositories
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
gh-auth-isolation
Safely manage multiple GitHub identities (EMU + personal) in agent workflows.
squad-conventions
Core conventions and patterns used in the Squad codebase.
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
haiku
When writing a haiku for this bot, follow these conventions.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".