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 XSpoonAi/spoon-bot --skill codinggit clone --depth 1 https://github.com/XSpoonAi/spoon-botWrote 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/xspoonai/spoon-bot/coding)<a href="https://agentmods.dev/skills/xspoonai/spoon-bot/coding"><img src="https://agentmods.dev/badge/skills/xspoonai/spoon-bot/coding/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/xspoonai/spoon-bot/coding"><img src="https://agentmods.dev/badge/skills/xspoonai/spoon-bot/coding.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 | $0.00013 | $0.00509 |
| Opus 5.5 | $0.00005 | $0.00204 |
| Sonnet 5.5 | $0.00003 | $0.00102 |
| Haiku 4.5 | $0.00001 | $0.00051 |
Grade A, and why
coding 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 78 lines · 13 tokens per session scan A 57417b8ffb7d
coding is a skill published in the GitHub repository XSpoonAi/spoon-bot (5 stars, last pushed 1mo ago), with no licence file. It adds 13 tokens to every session and 509 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 2026-08-31.
Other skills, from other repositories
agenttrace-session-audit
Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.
octocode-research
Use when code must be checked, not assumed: trace connections (callers, imports, cross-repo wiring, what breaks if I change it), locate behavior, map a system, diagnose a failure, RCA. Also for external repositories, npm packages, upstream/prior art, and general research. Plan a coding flow before writing, validate it…
code-review-web
Review web application code for bugs, security issues, performance problems, and stack-specific anti-patterns. Use this skill whenever the user wants to review code, debug a production issue, investigate a build failure, audit security, or check a PR before merging. Triggers on code review, review my code, debug…
triton-cuda-debugging
A troubleshooting checklist for Triton CUDA kernels, covering compilation failures, runtime errors, incorrect results, and performance problems. It includes checks for memory bounds, indexing, shapes, concurrency, and launch settings.
logic-lens
AI-powered Claude Code skill that performs deep code review using formal logic and reasoning frameworks to detect bugs, anti-patterns, and security risks beyond what linters catch.
incident-response-skill
A skill that uses object-style tool references with purpose descriptions and required flags, plus strict validation.