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 agentmods add skills/spedas/spedas_agent_kit/hodogramnpx skills add spedas/spedas_agent_kit --skill hodogramgit clone --depth 1 https://github.com/spedas/spedas_agent_kitWhat 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 | $0.00085 | $0.01478 |
| Opus 5 | $0.00043 | $0.00739 |
| Sonnet 5 | $0.00017 | $0.00296 |
| Haiku 4.5 | $0.00009 | $0.00148 |
Grade A, and why
hodogram 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 3d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hodogram: component-vs-component polarization plot
A hodogram plots one vector component against another (e.g. B in the maximum- vs
intermediate-variance direction) as a parametric curve traced over time. Its shape
reveals polarization — a line (linear), a circle (circular), an ellipse (elliptical) —
and the direction the curve is traced gives the rotation sense. It is the standard
companion to minimum-variance analysis (MVA) for classifying waves and characterizing
boundary rotations (e.g. magnetopause/current-sheet field rotation). This skill composes
existing tools — render_tplot gained scatter/x-y panels (#120/#123), so no new tool is added.
When to use
- "Plot the hodogram of B for this interval" / "is this fluctuation linear, circular, or elliptical?"
- "Which way does B rotate across this boundary?" (rotation sense / handedness).
- The polarization companion to
boundary-minimum-variance— view B_max vs B_int in the LMN frame.
Tool chain (all already exist)
create_spedas_analysis_bundle → fetch_data_product (B vector) →
(analyze_minvar_coordinates to get the LMN/variance frame, recommended) →
transform_timeseries_coordinates or the MVA-rotated series → write one .npz
matrix of the two components → render_tplot(panel_types=["scatter"], x_component, y_component).
Backend (VERIFIED contract)
The hodogram is produced by render_tplot's scatter/x-y panel (added in #123):
render_tplot(input_files=[npz], output_file=..., panel_types=["scatter"], x_component=[i], y_component=[j], ...)renders one 2-D matrix per.npzas a parametric x-y plot of columnivs columnj(defaults 0 vs 1).panel_typesmay also use"xy"; it overrides the per-file default.x_component/y_componentare lists of column indices, one per input file. Mismatched lengths return a structuredinvalid_argumenterror (validated before any drawing).- One matrix per file: to plot B_max-vs-B_int and B_max-vs-B_min as two panels, write
two
.npzinputs (or pass the same file twice with differentx_component/y_component), not one multi-key file expecting a multi-panel stack. - Input
.npzholds the vector as an N×kdatamatrix (component columns) and atimeaxis; the scatter panel ignorestimefor positioning but uses the row order to trace the curve. - Verified live: a 2-column circular series rendered with
panel_types=["scatter"], x_component=[0], y_component=[1]returnsstatus: successand writes a PNG.
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.
- 3d ago First seen · 67 lines · 85 tokens per session scan A e9ee92ba9e8e
hodogram is a skill published in the GitHub repository spedas/spedas_agent_kit (3 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 1,478 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…
auditing-subgroup-fairness
Audit an OpenMed NER or de-identification model for performance disparities across demographic subgroups (sex, age band, race/ethnicity when available) using openmed.eval.fairnessreport. Use when the user wants per-subgroup recall and leakage, wants to check whether de-identification under-protects a group, wants to…
overleaf-sync
Two-way sync between a local paper directory and an Overleaf project, so ARIS audit/edit workflows stay on the local copy while collaborators edit in the Overleaf web UI. Use when user says "同步 overleaf", "overleaf sync", "推送到 overleaf", "connect overleaf", "Overleaf 桥接", "pull overleaf", "push overleaf", or wants to…
mixed-precision
Use FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.