Borrowing it
Nothing to install: this file belongs to Wolfe-Jam/bun-sticky-faf. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Wolfe-Jam/bun-sticky-faf/main/.claude/commands/score.mdgit clone --depth 1 https://github.com/Wolfe-Jam/bun-sticky-fafWrote 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/wolfe-jam/bun-sticky-faf/score)<a href="https://agentmods.dev/commands/wolfe-jam/bun-sticky-faf/score"><img src="https://agentmods.dev/badge/commands/wolfe-jam/bun-sticky-faf/score/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/wolfe-jam/bun-sticky-faf/score"><img src="https://agentmods.dev/badge/commands/wolfe-jam/bun-sticky-faf/score.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 | $0.00000 | $0.00060 |
| Opus 5 | $0.00000 | $0.00030 |
| Sonnet 5 | $0.00000 | $0.00012 |
| Haiku 4.5 | $0.00000 | $0.00006 |
Grade A, and why
score 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 9d 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
Score Current Project
Run bun-sticky on the current directory to check FAF score.
bun run index.ts score
Review the output:
- Check which slots are missing
- Suggest improvements to reach next tier
- Target: 85%+ Bronze for production-ready
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.
- 9d ago First seen · 13 lines · 0 tokens per session scan A d6fe4f780b0b
score is a command published in the GitHub repository Wolfe-Jam/bun-sticky-faf (2 stars, last pushed 28d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 60 tokens. 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
faf
Score this project with FAF — Persistent Project Context for AI.
ai-readiness-assess
Run a self-contained AI readiness assessment for this project. Scan the repo for evidence, ask clarifying questions, produce a timestamped assessment document, and surface gap-anchored next steps — a reading path through The Sovereign Engineer and, where the team wants help, a route into TechTalk.
ai-context
Generate, update, or audit AI IDE context files with AGENTS.md as the canonical shared context and tool-specific bridge files. Signal Gate principle — only what agents cannot discover: $ARGUMENTS.
context-verify
Validate AI context file quality — signal-to-noise ratio, line budgets, stale paths, AGENTS-to-bridge consistency, and context health scoring: $ARGUMENTS.
apex-quick
Quick Flow for bounded fixes - the full APEX route with Brainstorm skipped and Plan compressed to one task; Analyze trio, delegated execution, eLicit, Verify, challenger and full sniper always run.
commit
Smart conventional commit with security validation, branch flow enforcement, and auto-detection. Use for git commit, commit changes, save work, stage and commit.