Borrowing it
Nothing to install: this file belongs to belingud/yaicli. 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/belingud/yaicli/master/.agents/skills/trellis-brainstorm/SKILL.mdgit clone --depth 1 https://github.com/belingud/yaicliWrote 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/belingud/yaicli/trellis-brainstorm)<a href="https://agentmods.dev/skills/belingud/yaicli/trellis-brainstorm"><img src="https://agentmods.dev/badge/skills/belingud/yaicli/trellis-brainstorm/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/belingud/yaicli/trellis-brainstorm"><img src="https://agentmods.dev/badge/skills/belingud/yaicli/trellis-brainstorm.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 | $0.00065 | $0.02140 |
| Opus 5.5 | $0.00026 | $0.00856 |
| Sonnet 5.5 | $0.00013 | $0.00428 |
| Haiku 4.5 | $0.00006 | $0.00214 |
Grade A, and why
trellis-brainstorm 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 5d 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.
This is a copy
100% identical to trellis-brainstorm — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trellis Brainstorm
Non-Negotiable Planning Contract
A request to build, implement, fix, refactor, or "go ahead" is not approval to leave planning. Task-creation consent is also not implementation approval.
For every non-trivial task, the user must respond at least once after the initial request before implementation begins. If no clarification is needed, that response must approve the final planning summary described below.
While any user-owned product, scope, UX, compatibility, risk, or acceptance decision remains unresolved, end the turn with exactly one highest-value question. Do not edit product code, dispatch implementation, or run task.py start.
Non-Negotiable Evidence Rule
If a question can be answered by exploring the codebase, explore the codebase instead.
This is mandatory. Before asking the user a question, first check whether the answer is already available in code, tests, configs, docs, existing specs, or task history.
Do not ask the user to confirm facts that the repository can answer. Ask only for product intent, preference, scope, risk tolerance, acceptance behavior, or decisions that remain ambiguous after inspection.
Repository evidence establishes current behavior and technical constraints. The user's intended behavior, feature scope boundaries, and UX preferences are never answerable by repository evidence alone, even when an existing pattern exists; existing patterns are options and recommendation evidence, not decisions.
Use this skill during Phase 1 planning to turn the user's request into clear requirements and planning artifacts.
Preconditions
Use this skill only after task-creation consent has been given and the user is ready to enter Trellis planning.
If no task exists yet, create one:
TASK_DIR=$(python3 ./.trellis/scripts/task.py create "<short task title>" --description "<one-line summary>" --slug <slug>)
Use a concise title from the user's request. Both the title and --description must be non-empty — create rejects blanks, and a record with either one empty is refused at archive. Use a slug without a date prefix. task.py create adds the MM-DD- directory prefix automatically.
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.
- 5d ago First seen · 201 lines · 65 tokens per session scan A 17d9bf209730
trellis-brainstorm is a skill published in the GitHub repository belingud/yaicli (19 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 2,140 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to trellis-brainstorm, differing in 0 lines, and is treated as a copy.
trellis-brainstorm compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| trellis-brainstormbelingud/yaicli | Skill | 19 | yesterday | Apache-2.0 | A | 65 | Claude Code, Codex |
| python-replgptme/gptme | Skill | 4.5k | yesterday | MIT | A | 15 | Claude Code, Codex |
| accelerateNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 13 | Claude Code, Codex |
| jupyter-notebookNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 18 | Claude Code, Codex |
| memory-triagemem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 58 | Claude Code |
| mem0mem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 181 | Claude Code |
| mem0-climem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 177 | Claude Code, Codex |