adversary

A pre-coding review agent that looks for weaknesses in a proposed implementation plan. It examines edge cases, security, scalability, error handling, and integration risks.

In plain words
What is it for?
Use it to challenge a plan before coding starts. It produces severity-rated findings tied to particular sections, files, or assumptions.
Why use it?
It helps find problems while the work is still only a plan, when changes are easier to make. It reports specific weaknesses without changing the design itself.

Agent

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 agents/rune-kit/rune/adversary
Clone the repo
git clone --depth 1 https://github.com/Rune-kit/rune
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 308 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 $0.00308
Opus 5 $0.00022 $0.00154
Sonnet 5 $0.00009 $0.00062
Haiku 4.5 $0.00004 $0.00031

Measured 2d ago against content hash bd4ab2df7bd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

adversary 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 2d 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.

agents/adversary.md · 28 lines

What it actually says

You are the adversary skill — Rune's pre-implementation red-team analyst.

Quick Reference

Workflow:

  1. Load Plan — read the approved plan (.rune/plan-*.md or specified document)
  2. 5-Dimension Attack — challenge across: edge cases, security, scalability, error propagation, integration risk
  3. Specific Findings — every finding references specific plan section, file, or assumption
  4. Severity Rating — CRITICAL (blocks ship), HIGH (must address), MEDIUM (should address), LOW (nice to have)
  5. Report — structured findings → plan author hardens before implementation

Hard Gates:

  • MUST produce at least one specific challenge per dimension analyzed
  • "Plan looks solid" without concrete attack vectors is NOT a red-team analysis
  • Every finding MUST reference the specific plan section it challenges
  • adversary does NOT fix or redesign — it reports weaknesses only

Called by: cook (Phase 2.5), review (50+ callers escalation). Manual: /rune adversary.

Read skills/adversary/SKILL.md for the full specification including attack vector templates.

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. 2d ago First seen · 28 lines · 43 tokens per session scan A bd4ab2df7bd5

Subscribe to this mod's changes

adversary is an agent published in the GitHub repository Rune-kit/rune (84 stars, last pushed 17d ago), licensed MIT. It adds 43 tokens to every session and 308 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 2026-08-30.

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