finding

finding is a command for coding agents from coldtatooine/vuln-skill-pack. It costs 43 tokens per session (464 once invoked), scanned A, original, MIT.

A command that turns a confirmed security issue into a structured report card, or into a short three-line summary when requested.

In plain words
What is it for?
Use it to record a vulnerability’s severity, confidence, CWE classification, affected code, attack path, root cause, impact, remediation, and regression test.
Why use it?
It gives findings a consistent format and keeps the report tied to confirmed evidence, realistic severity, and a practical fix.

Command

Part of the vun-skill-pack plugin — 5 skills, 11 commands, 1 agent, 1 hook shipped together

Install

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.

agentmods
npx agentmods add commands/coldtatooine/vuln-skill-pack/finding
Clone the repo
git clone --depth 1 https://github.com/coldtatooine/vuln-skill-pack

Or install vun-skill-pack, the plugin that ships this one along with the rest of its 5 skills, 11 commands, 1 agent, 1 hook.

Wrote 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.

agentmods badge for finding

README.md
[![agentmods](https://agentmods.dev/badge/commands/coldtatooine/vuln-skill-pack/finding.svg)](https://agentmods.dev/commands/coldtatooine/vuln-skill-pack/finding)
Your own site
<a href="https://agentmods.dev/commands/coldtatooine/vuln-skill-pack/finding"><img src="https://agentmods.dev/badge/commands/coldtatooine/vuln-skill-pack/finding.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 464 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00043 $0.00464
Opus 5 $0.00022 $0.00232
Sonnet 5 $0.00009 $0.00093
Haiku 4.5 $0.00004 $0.00046

Measured 4d ago against content hash d627bbfc22c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

finding 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 4d 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.

commands/finding.md · 68 lines

What it actually says

/finding — Format a Security Finding

Write up the current finding as a report card.

If $ARGUMENTS is provided, use it as the finding title (strip flags first). Otherwise, derive it from context.

Mode: if $ARGUMENTS contains --quick, use the Quick format. Otherwise use the Full format.


Ground rules

  • Only document what you've actually confirmed in the code. Label guesses as hypotheses.
  • Don't inflate severity — base it on a realistic exploit path, not theoretical worst case.
  • The fix should be the shortest credible solution, not a full refactor.

Quick format (--quick)

Three lines, for day-to-day triage speed:

[Severity] TITLE — file:line
Risk: [what an attacker gets, one line]
Fix: [shortest credible fix, one line]

Full format (default)

[TITLE]

Severity: Critical / High / Medium / Low Confidence: High / Medium / Low CWE: [number and name] Affected: [file(s), function(s), line range(s)] Attack surface: [entry point — route, handler, CLI arg, agent interface, etc.] Prerequisites: [what the attacker needs — auth? network access? specific role?]

Root cause: [One paragraph. Source → missing validation → sink. Be specific.]

Evidence: [Exact code behavior. Quote or reference the relevant lines. Explain why it's vulnerable.]

Safe reproduction: [Minimal steps to confirm the issue without causing harm.]

Impact: [What an attacker realistically achieves. No exaggeration.]

Fix: [Shortest structural fix. Prefer framework-level controls over one-off bandaids.]

Regression test: [What test would catch this if reintroduced.]


If the issue is not fully confirmed, add at the top:

Status: Hypothesis — [what evidence is still missing]

Changes

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.

  1. 4d ago First seen · 68 lines · 43 tokens per session scan A d627bbfc22c0

Subscribe to this mod's changes

finding is a command published in the GitHub repository coldtatooine/vuln-skill-pack (2 stars, last pushed 9d ago), licensed MIT. It adds 43 tokens to every session and 464 once invoked, about $0.0002 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.