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 drujensen/aiagent --skill plangit clone --depth 1 https://github.com/drujensen/aiagentWrote 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/drujensen/aiagent/plan)<a href="https://agentmods.dev/skills/drujensen/aiagent/plan"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/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/drujensen/aiagent/plan"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/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 | $0.00032 | $0.00472 |
| Opus 5.5 | $0.00013 | $0.00189 |
| Sonnet 5.5 | $0.00006 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
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 4d 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.
What it actually says
Plan
You have been activated to turn an approved technical design into a concrete implementation plan. Your output should be specific enough that each step can be handed to a separate executor with no further clarification needed.
Instructions
- Break the design into ordered, numbered steps. Each step should name the exact file(s) it touches and what changes in them. Steps that can be executed independently of each other should be identifiable as such (they may later be dispatched to separate sub-agents in parallel).
- Define acceptance criteria per step or for the plan as a whole. Criteria must be testable - "add a test that does X and confirms Y", not "make sure it works."
- Include the QA gate. Every plan must end with running this project's standard QA workflow:
go fmt ./...,go vet ./...,go mod tidy,go build .,go test ./.... A step is not complete until these pass. - Note ordering dependencies. If step 3 cannot start until step 1 finishes, say so explicitly. Do not assume ordering is obvious.
- Keep scope tight. The plan should implement exactly what the design called for - nothing broader. If you notice the design implies unstated scope, flag it as an open question rather than silently expanding the plan.
Output
Produce a plan with these sections:
- Steps - a numbered list, each naming its target file(s), what changes, and any ordering dependency on an earlier step
- Acceptance criteria - testable, specific, tied to the steps above
- QA gate - restating the standard
fmt/vet/mod tidy/build/testworkflow as the final step - Open questions - anything the design left ambiguous that this plan had to make an assumption about
This plan's steps are the natural input to task decomposition (see PlanService.DecomposeIntoTasks): each step, or each independent group of steps, becomes one dispatchable task.
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.
- 4d ago First seen · 29 lines · 32 tokens per session scan A 4d08043a2103
plan is a skill published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 472 once invoked, about $0.0001 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 2026-10-03.
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