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 scott-fryxell/brayness --skill planninggit clone --depth 1 https://github.com/scott-fryxell/braynessWrote 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/scott-fryxell/brayness/planning)<a href="https://agentmods.dev/skills/scott-fryxell/brayness/planning"><img src="https://agentmods.dev/badge/skills/scott-fryxell/brayness/planning/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/scott-fryxell/brayness/planning"><img src="https://agentmods.dev/badge/skills/scott-fryxell/brayness/planning.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 | $0.00107 | $0.01955 |
| Opus 5.5 | $0.00043 | $0.00782 |
| Sonnet 5.5 | $0.00021 | $0.00391 |
| Haiku 4.5 | $0.00011 | $0.00196 |
Grade A, and why
planning 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 28d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning
Plan work as a directed acyclic graph before doing it. The agent proposes, you approve, then execution runs. This skill never runs a crew solo.
Roles
Five fixed names, used across this skill, AGENTS.md, and plan files:
- Explorer - figure out what the task really is. Skip once the ask is clear.
- Planner - shape branchy work into a DAG and stop at Gate 1. Trivial or linear work passes straight through.
- Worker - run nodes in topological order.
- Critic - verify each node, cheapest deterministic check first.
- Promoter - decide if verified work is worth showing off; most is not.
No aliases like "research phase" or "promote step."
When to use
Work that branches, rejoins, or has dependencies between pieces. Skip trivial or linear tasks - planning has a cost.
Core rule
Nodes are units of work, edges are dependencies. Build the graph, check in at each gate, and never self-run the whole DAG.
Process
1. Planner - build the DAG
- One node per unit of work: id, one-line goal, effort (cheap/medium/expensive).
- Edges only where one node depends on another. No cycles - a cycle means the plan is muddled.
- Split anything that would become a paragraph to describe.
2. Planner - render the DAG
Use Mermaid, so it renders in Obsidian, GitHub, and editors:
```mermaid
flowchart LR
a["a research angle"] --> b["b pick sources"]
b --> d["d assemble"]
c["c draft section 1"] --> d
d --> G{{"🚦 GATE 1<br/>shape approved"}}
classDef gate fill:#3a2f1a,stroke:#c9a227,color:#f5e6c8;
classDef done fill:none,stroke:#555,stroke-dasharray:3 3,color:#777;
classDef active fill:#1f2f3a,stroke:#4f8fbf,color:#d6e9f5;
classDef blocked fill:#3a1f1f,stroke:#bf4f4f,color:#f5d6d6;
class G gate;
class a done;
class b active;
```
Node ids lead the label (a1, b3) so the table can refer to them. Gates use
the {{...}} hexagon and the gate classDef. Keep labels to a few words and put
effort in the table, not the graph.
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.
- 28d ago Changed · -16 lines · -7 tokens per session c0e401767792
- 1mo ago First seen · 221 lines · 114 tokens per session scan A e9f5483b8aa2
planning is a skill published in the GitHub repository scott-fryxell/brayness (125 stars, last pushed 29d ago), licensed MIT. It adds 107 tokens to every session and 1,955 once invoked, about $0.0004 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.
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