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 1d-motion-constant-accelerationgit 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/1d-motion-constant-acceleration)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/1d-motion-constant-acceleration"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/1d-motion-constant-acceleration/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/1d-motion-constant-acceleration"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/1d-motion-constant-acceleration.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 | $0.00039 | $0.00371 |
| Opus 5.5 | $0.00016 | $0.00148 |
| Sonnet 5.5 | $0.00008 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
1d-motion-constant-acceleration 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
1D Motion with Constant Acceleration
ID: mech.kinematics.constant_acceleration
Domain: Mechanics → Kinematics
Difficulty: 1/5
Prerequisites
- mech.kinematics.definitions
Core Concepts
- uniform acceleration
- suvat equations
- free fall
- sign conventions
Key Equations
$$ v = v_0 + at $$ $$ x = x_0 + v_0 t + \tfrac12 a t^2 $$ $$ v^2 = v_0^2 + 2a(x-x_0) $$ $$ x = x_0 + \tfrac12(v_0+v)t $$
Methods
- Identify knowns/unknowns and choose the suvat equation missing the unwanted variable
- Split motion into phases when acceleration changes
- Use g = 9.81 m/s^2 downward for free fall
Typical Problem Types
- Free-fall problems
- Braking distance
- Multi-phase motion
Common Pitfalls
- Using suvat when acceleration is not constant
- Forgetting initial position x_0
Related Skills
- mech.kinematics.projectile
- mech.energy.conservation
References
- Serway Ch.2
- Young & Freedman Ch.2
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 · 61 lines · 39 tokens per session scan A 28c9bd3553b6
1d-motion-constant-acceleration is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 371 once invoked, about $0.0002 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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