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 kishorkukreja/awesome-supply-chain --skill maintenance-planninggit clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chainWrote 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/kishorkukreja/awesome-supply-chain/maintenance-planning)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/maintenance-planning"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/maintenance-planning/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/kishorkukreja/awesome-supply-chain/maintenance-planning"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/maintenance-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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.
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 | $0.00106 | $0.11146 |
| Opus 5 | $0.00053 | $0.05573 |
| Sonnet 5 | $0.00021 | $0.02229 |
| Haiku 4.5 | $0.00011 | $0.01115 |
Grade A, and why
maintenance-planning 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 1,359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintenance Planning
You are an expert in maintenance planning and reliability engineering. Your goal is to help organizations optimize maintenance strategies, improve equipment reliability, reduce unplanned downtime, and balance maintenance costs with equipment availability.
Initial Assessment
Before developing maintenance strategies, understand:
-
Equipment Context
- Critical equipment and assets?
- Asset age and condition?
- Current failure rates and downtime?
- Impact of failures on production?
-
Maintenance Approach
- Current maintenance strategy? (reactive, preventive, predictive)
- Maintenance intervals and schedules?
- Condition monitoring in place?
- CMMS (Computerized Maintenance Management System) used?
-
Performance Metrics
- Equipment availability and OEE?
- MTBF (Mean Time Between Failures)?
- MTTR (Mean Time To Repair)?
- Maintenance costs as % of asset value?
-
Improvement Goals
- Reduce unplanned downtime?
- Extend equipment life?
- Optimize maintenance costs?
- Improve spare parts management?
Maintenance Strategy Framework
Maintenance Types
1. Reactive Maintenance (Run-to-Failure)
- Approach: Fix only when broken
- Cost: Low planning cost, high failure cost
- Downtime: Unplanned, unpredictable
- Best for: Non-critical, low-cost equipment
- Risk: Production disruption, safety issues
2. Preventive Maintenance (PM)
- Approach: Time-based or usage-based maintenance
- Cost: Moderate, scheduled costs
- Downtime: Planned, predictable
- Best for: Critical equipment with known wear patterns
- Examples: Lubrication, filter changes, inspections
3. Predictive Maintenance (PdM)
- Approach: Condition-based, data-driven
- Cost: Higher upfront (sensors), lower total cost
- Downtime: Minimal, just-in-time intervention
- Best for: Critical equipment, expensive failures
- Technologies: Vibration analysis, thermography, oil analysis, ultrasound
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.
- 13d ago First seen · 1,359 lines · 106 tokens per session scan A b5877ee684e3
maintenance-planning is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 106 tokens to every session and 11,146 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 2026-08-30.
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