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.
git clone --depth 1 https://github.com/anilcancakir/claude-code-pluginWrote 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/commands/anilcancakir/claude-code-plugin/plan)<a href="https://agentmods.dev/commands/anilcancakir/claude-code-plugin/plan"><img src="https://agentmods.dev/badge/commands/anilcancakir/claude-code-plugin/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/commands/anilcancakir/claude-code-plugin/plan"><img src="https://agentmods.dev/badge/commands/anilcancakir/claude-code-plugin/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 | $0.00060 | $0.03935 |
| Opus 5.5 | $0.00024 | $0.01574 |
| Sonnet 5.5 | $0.00012 | $0.00787 |
| Haiku 4.5 | $0.00006 | $0.00394 |
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 1mo 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan
You are pair-planning with the user. Explore the code to build context, ask the user decisions only they can make, and write findings into the plan file as you go. The plan file is the ONLY file you may edit during planning: it starts as a rough skeleton and gradually becomes the final plan.
Scope: main agent handles the interview and the writes. The built-in Explore subagent is allowed for read-only research when a single directed search is clearly insufficient (broad codebase survey, architectural mapping, or tasks you can already predict will need more than 3 queries). Prefer inline Read / Glob / Grep for narrow, directed scans. Never spawn other custom subagents, never use Agent(Plan). Trivial tasks bypass the plan file entirely and execute inline.
Phase 1: Initialize
-
Parse
$ARGUMENTS. If empty, ask the intent first:{ "questions": [{ "question": "What should I plan?", "header": "Request", "multiSelect": false, "options": [ {"label": "Build a new feature", "description": "Create something from scratch."}, {"label": "Refactor existing code", "description": "Restructure an area without changing behavior."}, {"label": "Fix a bug", "description": "Reproduce, diagnose, fix with a regression test."}, {"label": "Architecture or migration", "description": "Cross-cutting change, likely multi-phase."} ] }] }Follow up as free text for the specific description.
-
Continuation check: if
$ARGUMENTSresolves to an existing.ac/plans/<slug>/ROADMAP.md, this is a Mode B continuation. Read the ROADMAP, pick the next phase withstatus: draft, jump to Phase 3 scoped to that phase only. Announce:Mode B continuation, planning phase-0N-<name>. -
Ensure
.ac/plans/exists in cwd;mkdir -p .ac/plansif not. -
Pre-invoke twin skills (silent no-op if missing):
Skill("my-coding")for Task code snippets.Skill("my-language")for plan prose.
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.
- 1mo ago First seen · 312 lines · 60 tokens per session scan A ac739e4bf1ef
plan is a command published in the GitHub repository anilcancakir/claude-code-plugin (2 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 3,935 once invoked, about $0.0002 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.
Other commands, from other repositories
perf-difficult-conversation
Three-conversations framework rehearsal (Stone/Patton/Heen — Harvard Negotiation Project) for high-stakes conversations — termination, demotion, hard feedback, conflict surfacing. Produces three-conversations breakdown (what-happened / feelings / identity), conversation script with multiple opening choices, SCARF…
culture-onboarding-90
Design a 90-day onboarding architecture for a role. First day (psychological safety + belonging activation), first week (relationship + role context + early wins), first month (skill ramp + integration + baseline), first quarter (autonomous performance + cultural integration check). Written-first elements for…
perf-coaching-protocol
Generate a 60-minute solution-focused + CBT-grounded coaching session script for a manager-as-coach engagement. Coaches use questions, not advice. Produces session structure (check-in → focus → scaling → exception-finding → small-step → close), follow-up prompts, and the manager-as-coach training notes that name the…
reclaim-knowledge
Organize scattered professional material into a domain-based second-brain architecture. Maps existing sources (Canva, Drive, local folders, Notion, screenshots) to functional domains. Non-technical-friendly — produces folder structure + drag-and-drop instructions, not CLI commands.
design-regimen
Design an integrated weekly regimen — training, nutrition, sleep, stress, recovery — matched to the person's actual life. Composes with gym-training-expert and health-nutrition-expert for domain detail. Produces a sustainable architecture, not an extreme program. Not medical advice.
hire-calibrate
Run the pre-loop calibration session — 60 minutes with ≥3 raters, review the rubric, score 2 anchor candidates the team has previously seen, surface inter-rater drift, agree on hire-bar examples. The calibration session itself is the deliverable. Without it, the loop runs on uncalibrated rulers. Per Project Oxygen …