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 wildcat-finance/skills --skill x-raygit clone --depth 1 https://github.com/wildcat-finance/skillsWrote 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/wildcat-finance/skills/x-ray)<a href="https://agentmods.dev/skills/wildcat-finance/skills/x-ray"><img src="https://agentmods.dev/badge/skills/wildcat-finance/skills/x-ray/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/wildcat-finance/skills/x-ray"><img src="https://agentmods.dev/badge/skills/wildcat-finance/skills/x-ray.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 | $0.00093 | $0.09698 |
| Opus 5 | $0.00046 | $0.04849 |
| Sonnet 5 | $0.00019 | $0.01940 |
| Haiku 4.5 | $0.00009 | $0.00970 |
Grade A, and why
x-ray scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Bash `curl -sf https://raw.githubusercontent.com/pashov/skills/main/x-ray/VERSION` This is a copy
100% identical to x-ray — 0 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.
How it starts
The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X-Ray
Generate an x-ray/ folder at the project root containing all output files. Pipeline: 3 steps, always sequential.
$SKILL_DIR = the directory containing this SKILL.md file. Resolve it from the path you loaded this skill from (e.g. if this file is at /path/to/x-ray/SKILL.md, then $SKILL_DIR = /path/to/x-ray).
Progress tracking (MANDATORY)
Before doing anything else, call TodoWrite with these 3 todos (all pending):
Phase 1: Enumerate & measure codebasePhase 2: Read sources, classify entry points, synthesize invariantsPhase 3: Write x-ray report files
Transitions (update via TodoWrite — never batch):
- Mark Phase 1
in_progressimmediately, before runningenumerate.sh. - When Step 1's parallel batch returns, in ONE TodoWrite call mark Phase 1
completedand Phase 2in_progress. - When Step 2 (including 2b–2g) finishes, in ONE TodoWrite call mark Phase 2
completedand Phase 3in_progress. - After all Step 3 output files are written, mark Phase 3
completed.
Rule: exactly one todo is in_progress at any time. Status updates happen the moment a phase starts or ends.
Step 1: Enumerate & Measure
If the user specifies a path, use it as project root. Otherwise use cwd. If no .sol files or foundry.toml/hardhat.config.* at root, check one level deep.
Source directory detection: Auto-detect from foundry.toml (src = "...") or hardhat.config.*. If no config, try both src/ and contracts/. Read foundry.toml first if present.
Run enumeration (single Bash call — includes output directory creation):
mkdir -p [project-root]/x-ray && bash $SKILL_DIR/scripts/enumerate.sh [project-root] [src-dir]
Immediately after, launch ALL of the following in a single message (parallel):
0. Version check (foreground):
- Read the local
VERSIONfile from$SKILL_DIR/VERSION - Bash
curl -sf https://raw.githubusercontent.com/pashov/skills/main/x-ray/VERSION - If the remote VERSION fetch succeeds and differs from local, print
⚠️ You are not using the latest version. Please upgrade for best security coverage. See https://github.com/pashov/skills. If it fails, skip silently.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 402 lines · 93 tokens per session scan A b23bb9451780
x-ray is a skill published in the GitHub repository wildcat-finance/skills (12 stars, last pushed today), licensed Apache-2.0. It adds 93 tokens to every session and 9,698 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to x-ray, differing in 0 lines, and is treated as a copy.
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