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 BlackBeltTechnology/pi-agent-dashboard --skill plan-proposalgit clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboardWrote 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/blackbelttechnology/pi-agent-dashboard/plan-proposal)<a href="https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/plan-proposal"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/plan-proposal/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/blackbelttechnology/pi-agent-dashboard/plan-proposal"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/plan-proposal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.03371 |
| Opus 5.5 | $0.00033 | $0.01348 |
| Sonnet 5.5 | $0.00017 | $0.00674 |
| Haiku 4.5 | $0.00008 | $0.00337 |
Grade A, and why
plan-proposal 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 2d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
plan-proposal
Orchestrates the planning phase of an OpenSpec change on develop. Composes
existing skills — it does not reimplement them. Twin of ship-it, which owns
the implementation phase inside the worktree. The two split at the git-worktree
boundary, which is also the interactive/headless line.
flowchart LR
subgraph Planning ["PLANNING — develop, human present"]
A["new/ff/continue"] --> B["doubt-review"]
B --> C["scenario-design + category-fold + manifest"]
C --> D["plan-proposal (this skill)"]
end
D -->|"boundary: commit + spawn worktree"| E["ship-it"]
subgraph Implementation ["IMPLEMENTATION — worktree"]
E
end
Hard constraint — main session only (never a subagent)
plan-proposal MUST run in the main interactive session. It invokes
doubt-driven-review (which spawns a fresh-context reviewer, and a second
cross-model reviewer — automatically when a @propose-review-N role resolves,
offered interactively only when none does; nested subagent spawn is blocked) and
scenario-design (whose proposal/design-stage HARD gate calls ask_user). Both
need a live main session.
Guard: if you detect you are running inside a subagent context (nested
reviewer spawn would be blocked, or ask_user is unavailable), STOP and
surface: "plan-proposal must run in the main session — doubt-review and the
scenario-design gate cannot run nested. Re-invoke from the main session on
develop." Do not degrade the doubt-review to a self-questioning fallback.
Preconditions
- On the
developbranch (planning happens on develop; the worktree is spawned from the planning commit). openspecCLI available; resolve the change name from--change <name>, the conversation, oropenspec list --json(ask if ambiguous).- Announce: "Planning change:
<change>(override with/plan-proposal <other>)."
Procedure
1. Ensure planning artifacts exist
Bring the change to a drafted state using the existing generated skills — do not hand-roll the directory:
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.
- 2d ago Changed · +1 lines b0d323df8cd9
- 8d ago Changed · +15 lines 7a91953d1027
- 22d ago Changed · +26 lines a03b51f94a86
- 25d ago Changed · +35 lines 951e332663b8
- 1mo ago First seen · 175 lines · 83 tokens per session scan A 4f1a6cea6226
plan-proposal is a skill published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (330 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 3,371 once invoked, about $0.0003 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.
Other skills, from other repositories
goga-cookbook
Principles for applying DSL specification in cell and CODEMANIFEST design.
goga-plan-by-design
Compile a design document into a ralphex execution plan.
goga-review-plan
Verify execution plan completeness and correctness.
goga-define-challenge
Challenge the complete product definition before the PRD is generated.
goga-define-project
Understand the current project before defining a product change that must fit into an existing product.
goga-prototype
Pipeline orchestrator for prototyping the cells architecture.