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 hamzabellouch/agent-skills --skill energy-friction-dissipationgit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/hamzabellouch/agent-skills/energy-friction-dissipation)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/energy-friction-dissipation"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/energy-friction-dissipation/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/hamzabellouch/agent-skills/energy-friction-dissipation"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/energy-friction-dissipation.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 | $0.00036 | $0.00300 |
| Opus 5.5 | $0.00014 | $0.00120 |
| Sonnet 5.5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
energy-friction-dissipation 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 7d 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
Energy with Friction and Dissipation
ID: mech.energy.dissipative
Domain: Mechanics → Energy
Difficulty: 2/5
Prerequisites
- mech.energy.conservation
- mech.dynamics.friction
Core Concepts
- non-conservative work
- thermal energy
- energy dissipation
- extended work-energy theorem
Key Equations
$$ K_i + U_i + W_{nc} = K_f + U_f $$
Methods
- Identify non-conservative work
- Include friction work as -\mu N d (or + \mu N d on the thermal side)
- Solve for the unknown
Typical Problem Types
- Block sliding to rest
- Roller coaster with friction
- Braking distance
Common Pitfalls
- Using pure energy conservation with friction
- Sign errors on frictional work
Related Skills
- mech.energy.work_energy_theorem
- thermo.first_law
References
- Serway Ch.8
- Halliday-Resnick-Walker Ch.8
What ships with it
1 file 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.
- 7d ago First seen · 53 lines · 36 tokens per session scan A 5cc3ff647e49
energy-friction-dissipation is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 300 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-10.
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