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 asymptotic-methodsgit 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/asymptotic-methods)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/asymptotic-methods"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/asymptotic-methods/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/asymptotic-methods"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/asymptotic-methods.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 | $0.00034 | $0.00306 |
| Opus 5.5 | $0.00014 | $0.00122 |
| Sonnet 5.5 | $0.00007 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
asymptotic-methods 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
Asymptotic Methods
ID: math.asymptotics
Domain: Mathematics → Analysis
Difficulty: 5/5
Prerequisites
- math.special_functions
- math.complex_analysis
Core Concepts
- asymptotic series
- Laplace method
- stationary phase
- steepest descent
- dominant balance
Key Equations
$$ \int_a^b g(x)e^{\lambda f(x)}dx \sim g(x_0)e^{\lambda f(x_0)}\sqrt{\frac{2\pi}{\lambda|f''(x_0)|}} $$
Methods
- Identify large/small parameter
- Apply Laplace/stationary-phase method
- Match asymptotic regions
Typical Problem Types
- Saddle-point approximations
- WKB connection formulas
- Large-N expansions
Common Pitfalls
- Confusing convergent and asymptotic series
- Ignoring endpoint contributions
Related Skills
- qm.approx.wkb
- math.special_functions
References
- Bender & Orszag Advanced Mathematical Methods
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 · 34 tokens per session scan A 81e6a925521c
asymptotic-methods is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 306 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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