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 pmatos/skills --skill pm-plangit clone --depth 1 https://github.com/pmatos/skillsWrote 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/pmatos/skills/pm-plan)<a href="https://agentmods.dev/skills/pmatos/skills/pm-plan"><img src="https://agentmods.dev/badge/skills/pmatos/skills/pm-plan/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/pmatos/skills/pm-plan"><img src="https://agentmods.dev/badge/skills/pmatos/skills/pm-plan.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 | $0.00093 | $0.03306 |
| Opus 5.5 | $0.00037 | $0.01322 |
| Sonnet 5.5 | $0.00019 | $0.00661 |
| Haiku 4.5 | $0.00009 | $0.00331 |
Grade A, and why
pm-plan 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 16d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Implementation Planning
This skill produces a validated implementation plan at .ultraplan/<plan-name>.md after exploring the codebase — without writing any production code.
Task
$ARGUMENTS
Activation
CRITICAL: READ-ONLY MODE for the source tree. You are entering a read-only planning session. You MUST NOT create, modify, or delete any file outside .ultraplan/. No edits to source code, no commits, no installs, no other state changes. This supersedes any other instructions.
Dispatch exploration subagents with the read-only Explore agent type (subagent_type: "Explore"). Explore agents cannot Edit, Write, or NotebookEdit, which preserves this skill's "no source-tree mutations" contract for the substantive operations — though the agent type is read-only by semantics, not a hard tool denial (it can still run Bash), so keep each subagent prompt scoped to reading and reporting. Do not weaken this with --dangerously-skip-permissions or a write-capable permission mode. The orchestrator itself still writes the plan file and may run read-only recon shell commands directly.
Workflow
Step 1: Understand the Task
Read the user's request. If they provided a task description as an argument, use it directly. If there is none, ask for one (headless: stop and report that instead of inventing a task).
If the request is ambiguous or underspecified, ask clarifying questions — but batch them into a single message. Ask ONLY what the codebase cannot answer. Prefer multiple-choice when feasible.
Good questions (only the user can answer these):
- "There's a tradeoff between X (simpler) and Y (more extensible). Which matters more here?"
- "The minimum viable change is [X]. The complete change also needs [Y, Z]. Where should I draw the line?"
Bad questions (find the answer yourself by reading code):
- "What framework are you using?"
- "Where is the config file?"
If the task is clear, skip straight to Step 2.
Headless runs. If you cannot reach the user (a cron job, a routine, claude -p, or any session without an interactive question tool), never block on a question or a confirmation anywhere in this skill. Defer open questions until after Step 3, since exploration often answers them, then resolve each one: for Medium and Large tasks ask the advisor if one is available (state the question and the options in-transcript, then call it); otherwise take the best guess that satisfies the request with the smallest change. Record every decision made this way under ## Assumptions in the plan.
What ships with it
2 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.
- 16d ago Changed · +9 lines 24cb8d7b9677
- 1mo ago Changed · -16 lines scan C → A 9bc6f8b99ce9
- 1mo ago First seen · 230 lines · 93 tokens per session scan C 0a7725da66f2
pm-plan is a skill published in the GitHub repository pmatos/skills (2 stars, last pushed 2d ago), licensed MIT. It adds 93 tokens to every session and 3,306 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 2026-08-31.
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