Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add brainets/braina/plugin install brainaWrote 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/brainets/braina/frites-connectivity)<a href="https://agentmods.dev/skills/brainets/braina/frites-connectivity"><img src="https://agentmods.dev/badge/skills/brainets/braina/frites-connectivity/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/brainets/braina/frites-connectivity"><img src="https://agentmods.dev/badge/skills/brainets/braina/frites-connectivity.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 | $0.00121 | $0.01271 |
| Opus 5.5 | $0.00048 | $0.00508 |
| Sonnet 5.5 | $0.00024 | $0.00254 |
| Haiku 4.5 | $0.00012 | $0.00127 |
Grade A, and why
frites-connectivity scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frites connectivity measures
Covers the 8 pairwise connectivity tools braina exposes -
frites_conn_covgc, frites_conn_dfc, frites_conn_pid, frites_conn_ii,
frites_conn_te, frites_conn_fit, frites_conn_spec, frites_conn_ccf -
and the two post-processing tools frites_conn_reshape and frites_conn_net.
Per-tool detail (every parameter, output layout, interpretation, references)
lives in references/ next to this file
(${CLAUDE_PLUGIN_ROOT}/skills/frites-connectivity/references/). Read the
matching reference file before answering a parameter-level question; this
page only holds what applies to all of them.
| Tool | Question it answers | Reference file |
|---|---|---|
frites_conn_covgc |
Does A drive B (directed, time-resolved, per trial)? | references/covgc.md |
frites_conn_te |
Directed influence scanned over a range of delays | references/te-fit.md |
frites_conn_fit |
How much information about feature y flows A->B | references/te-fit.md |
frites_conn_dfc |
Undirected coupling over (sliding) windows, per trial | references/dfc.md |
frites_conn_spec |
Coherence / PLV / cross-spectrum per frequency and time | references/spec-ccf.md |
frites_conn_ccf |
Raw temporal lag between two signals | references/spec-ccf.md |
frites_conn_pid |
Unique / redundant / synergistic information of a pair about y | references/pid-ii.md |
frites_conn_ii |
Net synergy-minus-redundancy of a pair about y | references/pid-ii.md |
frites_conn_reshape, frites_conn_net, plot_result |
Turning pair-wise outputs into matrices, net flow, figures | references/post-processing.md |
Data conventions (apply to every tool)
- Input
(n_epochs, n_roi, n_times). Use a.ncfile whose coordinates are named exactlyroiandtimesand whoseattrs['sfreq']is set: the wrappers pass those names to Frites, so ROI labels and a time axis in seconds survive into the output. A.npyinput (or other coordinate names) getsroi_0, roi_1, ...and a 1 Hz axis instead - useconvert_to_ncfirst. - Pair labels in outputs: undirected tools give
A-B, directed tools giveA->B(covgc givesA-Bplus adirectioncoordinatex->y,y->x,x.y). - Every tool returns a text summary (shape, dims, coords, min/mean/max) of
the file it wrote; use it before deciding whether to
inspect_data. n_jobs(parallel pairs) is exposed on covgc, dfc, te, spec and ccf; default 1.
What ships with it
6 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.
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.
- 29d ago Changed · -98 lines · +18 tokens per session c3ca5afb82b7
- 1mo ago First seen · 179 lines · 103 tokens per session scan A 36f02b1749b0
frites-connectivity is a skill published in the GitHub repository brainets/braina (5 stars, last pushed 1mo ago), licensed BSD-3-Clause. It adds 121 tokens to every session and 1,271 once invoked, about $0.0005 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 2026-09-14.
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