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 skills add ClarentCinematics/Codex-Skills-for-Enterprise --skill automation-opportunity-mapgit clone --depth 1 https://github.com/ClarentCinematics/Codex-Skills-for-EnterpriseWrote 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/clarentcinematics/codex-skills-for-enterprise/automation-opportunity-map)<a href="https://agentmods.dev/skills/clarentcinematics/codex-skills-for-enterprise/automation-opportunity-map"><img src="https://agentmods.dev/badge/skills/clarentcinematics/codex-skills-for-enterprise/automation-opportunity-map/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/clarentcinematics/codex-skills-for-enterprise/automation-opportunity-map"><img src="https://agentmods.dev/badge/skills/clarentcinematics/codex-skills-for-enterprise/automation-opportunity-map.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 | $0.00062 | $0.00405 |
| Opus 5 | $0.00031 | $0.00202 |
| Sonnet 5 | $0.00012 | $0.00081 |
| Haiku 4.5 | $0.00006 | $0.00040 |
Grade A, and why
automation-opportunity-map 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 11d 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
Automation Opportunity Map
Workflow
- Map the workflow goal, trigger, actors, inputs, tools, decisions, outputs, and current pain points.
- Identify repeatable steps, handoffs, data transformations, approval paths, and quality checks.
- Classify opportunities as skill, script, integration, dashboard, template, or process redesign.
- Score opportunities by value, frequency, complexity, risk, data sensitivity, and time-to-impact.
- Recommend a staged automation roadmap with quick wins, dependencies, and validation criteria.
Output Standard
Use this structure by default:
- Workflow Summary: current workflow, owner, frequency, and business outcome.
- Pain Points: friction, waste, rework, delay, or quality risk.
- Automation Candidates: opportunity, automation type, value, complexity, and risk.
- Prioritization Matrix: quick win, strategic bet, defer, or avoid.
- Recommended Roadmap: first experiment, next build, and longer-term system improvement.
- Required Inputs: data, artifacts, systems, permissions, and human review points.
- Success Measures: time saved, quality improved, risk reduced, or throughput gained.
Rules
- Prefer narrow automations with clear ownership over broad vague transformation ideas.
- Flag privacy, compliance, access, and human-review requirements explicitly.
- Do not recommend full automation when human judgment is essential or source data is unreliable.
- Optimize for measurable operating leverage, not novelty.
References
Read references/opportunity-patterns.md when the user asks for an intake form, prioritization rubric, or roadmap format.
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.
- 11d ago First seen · 38 lines · 62 tokens per session scan A 235c52e701b3
automation-opportunity-map is a skill published in the GitHub repository ClarentCinematics/Codex-Skills-for-Enterprise (2 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 405 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 2026-08-31.
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