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/gaelic-ghost/socket/use-objective-see-toolsnpx skills add gaelic-ghost/socket --skill use-objective-see-toolsgit clone --depth 1 https://github.com/gaelic-ghost/socketWrote 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/gaelic-ghost/socket/use-objective-see-tools)<a href="https://agentmods.dev/skills/gaelic-ghost/socket/use-objective-see-tools"><img src="https://agentmods.dev/badge/skills/gaelic-ghost/socket/use-objective-see-tools.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 | $0.00056 | $0.00394 |
| Opus 5 | $0.00028 | $0.00197 |
| Sonnet 5 | $0.00011 | $0.00079 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
use-objective-see-tools 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 yesterday.
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
Use Objective-See Tools
Overview
Select the Objective-See tool that observes the needed surface, record its current capabilities, and return evidence to the owning macOS workflow. Do not treat one tool's label or UI color as a threat verdict.
Read references/objective-see-routing.md and recheck the official tool page before use.
Workflow
- Name the unresolved observation: persistence, process, file, network, signing, or process inventory.
- Discover local capability.
- Verify official source, installed app/path, version, supported macOS build, permissions/system extensions, running state, and export format.
- Do not install, approve extensions, or grant privacy access without an explicit operator decision.
- Select one tool and bounded action.
- Preserve context.
- Record scan time, filters, exclusions, baseline, UI/CLI actions, alerts, raw/exported output, and tool errors.
- Correlate independently.
- Verify signer/path/hash, process ancestry, persistence registration, socket, or file change with native evidence where practical.
- Route conclusions.
- Send evidence to persistence, runtime, threat assessment, or containment workflows.
Guardrails
- Do not enable blocking rules or terminate/delete items during evidence collection unless containment is separately approved.
- Do not claim historical coverage when the tool was installed after the event.
- Do not assume every Objective-See tool exposes a stable CLI or accessible GUI automation surface.
Output
Return tool/version/capability, permissions, action, observations/export, independent correlation, limitations, and owning workflow.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 37 lines · 56 tokens per session scan A a02e1358b341
use-objective-see-tools is a skill published in the GitHub repository gaelic-ghost/socket (7 stars, last pushed 9d ago), licensed Apache-2.0. It adds 56 tokens to every session and 394 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
pipeline
Use when the user wants a feature idea taken end-to-end in one autonomous run — phrases like "run the whole pipeline", "take this feature from idea to finished branch", "brainstorm then build it autonomously", "do everything from idea to merged", "implement all phases without stopping". Triggers when they want…
craft
Use when a product idea is still vague and needs to become a clear definition of what to build — "let's craft an app like X", "help me define what I actually want", "clarify this idea before we plan it". Also use before planning or implementation when requirements, UX, domain behaviour, or technical preferences have…
scenario-planning
Plans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than forecasting one. Use this when a decision depends on something unknowable, when a plan assumes conditions that may not hold…
ai-ml-governance
Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory…
ai-research-analyst
Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a…
implement-factory
Factory loop orchestrator for multi-feature or multi-component implementation manifests. Use for high-complexity work with parallel-eligible workstreams and holdout-scenario evaluation.