Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add pealmeida/anymodel-plugin/plugin install anymodelWrote 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/pealmeida/anymodel-plugin/result)<a href="https://agentmods.dev/commands/pealmeida/anymodel-plugin/result"><img src="https://agentmods.dev/badge/commands/pealmeida/anymodel-plugin/result/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/pealmeida/anymodel-plugin/result"><img src="https://agentmods.dev/badge/commands/pealmeida/anymodel-plugin/result.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 | $0.00014 | $0.00145 |
| Opus 5.5 | $0.00006 | $0.00058 |
| Sonnet 5.5 | $0.00003 | $0.00029 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
result scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
81% identical to result — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
!node "${CLAUDE_PLUGIN_ROOT}/scripts/companion.mjs" result "$ARGUMENTS"
Present the full command output to the user. Do not summarize or condense it. Preserve all details including:
- Job ID and status
- The complete result payload, including verdict, summary, findings, details, artifacts, and next steps
- File paths and line numbers exactly as reported
- Any error messages or parse errors
- Follow-up commands such as
/anymodel:status <id>and/anymodel:review
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 · 15 lines · 14 tokens per session scan A cca1adba01a8
result is a command published in the GitHub repository pealmeida/anymodel-plugin (0 stars, last pushed 5d ago), licensed Apache-2.0. It adds 14 tokens to every session and 145 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 81% identical to result, differing in 7 lines, and is treated as a copy.
Other commands, from other repositories
mega-approve
Approve the mega-plan and start feature execution. Creates worktrees and generates PRDs for each feature. Usage: /plan-cascade:mega-approve [--flow ] [--tdd ] [--confirm] [--no-confirm] [--spec ] [--first-principles] [--max-questions N] [--auto-prd] [--agent ] [--prd-agent ] [--impl-agent ].
auto
AI auto strategy executor. Analyzes task and automatically selects and executes the best strategy: direct execution, hybrid-auto PRD generation, hybrid-worktree isolated development, or mega-plan multi-feature orchestration.
design-generate
Generate a technical design document. Auto-detects level: project-level from mega-plan.json, or feature-level from prd.json. Provides architectural context for story execution.
design-review
Review and interactively edit the current designdoc.json. Displays the design document in a readable format and allows modifications to components, patterns, decisions, and story mappings.
worktree
Start a new task in an isolated Git worktree for parallel multi-task development. Creates a task branch, worktree directory with planning files, and leaves the main directory untouched. Usage: /plan-cascade:worktree [task-name] [target-branch]. Example: /plan-cascade:worktree feature-login main.
design-import
Import an external design document (Markdown, JSON, or HTML from Confluence/Notion) and convert it to designdoc.json format for Plan Cascade integration.