Borrowing it
Nothing to install: this file belongs to abhinavshrivastava950/Montara. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/abhinavshrivastava950/Montara/main/.agents/skills/manimgl-best-practices/SKILL.mdgit clone --depth 1 https://github.com/abhinavshrivastava950/MontaraWrote 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/abhinavshrivastava950/montara/manimgl-best-practices)<a href="https://agentmods.dev/skills/abhinavshrivastava950/montara/manimgl-best-practices"><img src="https://agentmods.dev/badge/skills/abhinavshrivastava950/montara/manimgl-best-practices/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/abhinavshrivastava950/montara/manimgl-best-practices"><img src="https://agentmods.dev/badge/skills/abhinavshrivastava950/montara/manimgl-best-practices.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 | $0.00167 | $0.02005 |
| Opus 5.5 | $0.00067 | $0.00802 |
| Sonnet 5.5 | $0.00033 | $0.00401 |
| Haiku 4.5 | $0.00017 | $0.00200 |
Grade A, and why
manimgl-best-practices 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 2mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
60 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.
- examples/attention_arcs_animation.py 8.1 KB runs code
- examples/attention_pattern_dots.py 4.3 KB runs code
- examples/attention_scenes.py 34 KB runs code
- examples/attention_softmax_masking.py 3.7 KB runs code
- examples/autoregressive_flow.py 7.0 KB runs code
- examples/basic_multihead.py 5.0 KB runs code
- examples/bloch_sphere_3d.py 6.9 KB runs code
- examples/block_collision_basic.py 5.4 KB runs code
- examples/blocks_3d.py 7.2 KB runs code
- examples/collision_phase_space.py 10 KB runs code
- examples/complex_s_plane.py 9.8 KB runs code
- examples/cost_function.py 3.9 KB runs code
- examples/cube_projection_3d.py 6.3 KB runs code
- examples/damped_solutions_splane.py 9.2 KB runs code
- examples/dot_product_visualization.py 5.5 KB runs code
- examples/double_slit_interference.py 11 KB runs code
- examples/eigenvalue_equations.py 7.2 KB runs code
- examples/eigenvector_flow_field.py 6.5 KB runs code
- examples/eigenvector_matrix_transformation.py 6.2 KB runs code
- examples/elastic_collision_vectors.py 10 KB runs code
- examples/embedding_matrix.py 5.5 KB runs code
- examples/equation_transforms.py 10.0 KB runs code
- examples/exponential_derivative.py 8.2 KB runs code
- examples/fibonacci_eigenvalues.py 5.9 KB runs code
- examples/gradient_descent_basic.py 6.8 KB runs code
- examples/hexagon_cube_correspondence.py 2.8 KB runs code
- examples/integration_visualization.py 6.9 KB runs code
- examples/laplace_integral.py 9.3 KB runs code
- examples/light_polarization.py 11 KB runs code
- examples/linear_regression.py 3.8 KB runs code
- examples/llm_prediction_pipeline.py 9.3 KB runs code
- examples/lorenz_attractor.py 5.3 KB runs code
- examples/lozenge_tiling.py 3.2 KB runs code
- examples/max_random_process.py 5.8 KB runs code
- examples/mlp_forward_pass.py 8.7 KB runs code
- examples/mlp_network_icon.py 3.2 KB runs code
- examples/mlp_neuron_activation.py 7.7 KB runs code
- examples/mlp_neurons_flow.py 10 KB runs code
- examples/mlp_relu_visualization.py 5.3 KB runs code
- examples/mlp_vector_space.py 8.6 KB runs code
- examples/mlp_weight_matrix.py 8.5 KB runs code
- examples/multi_head_attention.py 8.3 KB runs code
- examples/network_block_flow.py 8.4 KB runs code
- examples/neural_network_basic.py 4.3 KB runs code
- examples/parallax_starfield.py 6.3 KB runs code
- examples/probability_distribution.py 12 KB runs code
- examples/probability_output.py 12 KB runs code
- examples/quantum_gates.py 8.7 KB runs code
- examples/qubit_state_vector.py 6.0 KB runs code
- examples/query_key_dot_products.py 4.2 KB runs code
- examples/query_key_space_mapping.py 6.3 KB runs code
- examples/radial_wave_visualization.py 7.6 KB runs code
- examples/rotating_exponentials.py 9.3 KB runs code
- examples/semantic_similarity.py 5.8 KB runs code
- examples/simple_test.py 1.8 KB runs code
- examples/softmax_visualization.py 4.8 KB runs code
- examples/solve_damped_ode.py 9.1 KB runs code
- examples/spring_mass_system.py 9.6 KB runs code
- examples/sqrt_random_process.py 4.8 KB runs code
- examples/superposition_effect.py 9.0 KB runs code
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.
- 2mo ago First seen · 216 lines · 167 tokens per session scan A acb89023c69f
manimgl-best-practices is a skill published in the GitHub repository abhinavshrivastava950/Montara (22 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 167 tokens to every session and 2,005 once invoked, about $0.0007 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 2026-08-30.
manimgl-best-practices compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| manimgl-best-practicesabhinavshrivastava950/Montara | Skill | 22 | 1mo ago | AGPL-3.0 | A | 167 | Claude Code, Codex |
| hr-onboardingnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 62 | Claude Code, Codex |
| book-mirrorgarrytan/gbrain | Skill | 32k | yesterday | MIT | A | 138 | Claude Code |
| exam-forecastanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 73 | Claude Code |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 81 | Claude Code |
| eli5companion-inc/feynman | Skill | 10k | 6d ago | MIT | A | 63 | Claude Code, Codex |
| deck-course-modulenexu-io/html-anything | Skill | 9.4k | 24d ago | Apache-2.0 | A | 25 | Claude Code, Codex |