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 agentmods add commands/anilcancakir/claude-code-plugin/plangit clone --depth 1 https://github.com/anilcancakir/claude-code-pluginWhat 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 | $0.00060 | $0.03935 |
| Opus 5 | $0.00030 | $0.01968 |
| Sonnet 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 yesterday.
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.
- yesterday 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 4mo ago), licensed MIT. It adds 60 tokens to every session and 3,935 once invoked, about $0.0003 per session on Opus 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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