gungnir

An authorized penetration-testing process that acts like an attacker against a system to find and confirm real security weaknesses. Penetration testing is a controlled attempt to break into software or infrastructure before someone else does.

In plain words
What is it for?
Use it to test your own system, an agreed staging environment, or a practice lab before launch and during ongoing security checks. It covers authorization, investigation, scanning, exploitation, reporting, and retesting.
Why use it?
Security scanners and tests can report possible problems without proving they are exploitable. This process confirms which weaknesses are real, how they could be combined, and what damage they could cause.

Skill for Claude CodeCodex

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 skills/iamk77/skill/gungnir
Any agent
npx skills add IamK77/Skill --skill gungnir
Clone the repo
git clone --depth 1 https://github.com/IamK77/Skill

Made for: Claude Code, Codex.

Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,910 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 $0.00184 $0.03910
Opus 5 $0.00092 $0.01955
Sonnet 5 $0.00037 $0.00782
Haiku 4.5 $0.00018 $0.00391

Measured 2d ago against content hash 2cfe24e1980c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gungnir 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.

skills/engineering/gungnir/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gungnir

!checklist init ${CLAUDE_SKILL_DIR} --force

The single most valuable security mindset is to think like an attacker and actively try to break your own system — because a defense is only ever proven by a real attack, never by a clean scan or a green test. This skill is the spear: authorized, adversarial penetration testing of a system to prove (or disprove) that the defenses the aegis skill built actually hold. It drives a real attack through its whole arc — scope, recon, scan, exploit, chain, report — across six gated stages, and it will not advance past a GATE until the checklist tool clears it.

The one hard boundary, gated first and never crossed: you attack only a system you own or have explicit, written authorization to test. Attacking anything else — a third-party service, a system you don't own, infrastructure outside the agreed scope — is out of bounds, full stop, regardless of intent. This skill is for authorized, defensive validation: your own staging environment, a system you've been contracted to test in writing, or a deliberately-vulnerable practice lab. STAGE 0 makes that authorization a hard gate, and it is the one gate that is never a judgment call.

Adversarial validation is where the agent era cuts both ways, and both edges matter:

  • The agent can now actually run the attacknmap, sqlmap, an intercepting proxy — which makes continuous self-attack cheap and real. That capability is exactly why the authorization gate must be absolute: a tool that can find a hole can point at the wrong target, and the agent feels no instinct about whose system it is.
  • The agent shares the blind spots of whoever built the system. If the design, the code, and now the attack are all done by agents, they share a training distribution and an imagination — so an agent attacking a system it (or a sibling) built will miss the same things it missed building it. Agreement is not evidence. Real assurance needs independent angles, and on the highest-stakes systems, a genuinely independent (human) tester.
  • The agent runs a scanner, sees an empty result, and declares "secure." A clean scan means known patterns weren't found — it is necessary and nowhere near sufficient. The creative work — chaining small flaws into a real exploit, abusing business logic no scanner understands — is exactly what the agent is weakest at and what this skill exists to force.

So the rule that governs this skill: a defense is proven only by a real, authorized attack — a clean scan is not proof — and you attack only what you are permitted to. The goal is not to "pass"; it is to find the holes while they are still cheap to fix.

Discipline: finish every GATE before the next stage. GATEs are hard — never skip, batch past, or self-certify a stage you have not done. The checklist tool enforces the order; let it. Commands address stages by name.

Read references/agent-era-shifts.md first — it is the heart: what adversarial testing becomes when the attacker is an agent that shares the defender's blind spots, can run the tools, and will mistake a clean scan for a secure system. If $ARGUMENTS is trivial and has nothing worth attacking, this machinery is overkill — say so.

Speak the user's language, and confirm the authorization out loud. This skill needs the user to set the scope, confirm ownership/authorization, and own the disposition of every finding. Read their fluency and gloss a term on first use (penetration test vs scan, recon, IDOR, injection, privilege escalation, scope, rules of engagement). A user who cannot confirm, plainly, that this target is theirs to attack has not authorized it — and STAGE 0 does not clear.

Read the full file on GitHub · 158 lines

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 · 158 lines · 184 tokens per session scan A 2cfe24e1980c

Subscribe to this mod's changes

gungnir is a skill published in the GitHub repository IamK77/Skill (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 184 tokens to every session and 3,910 once invoked, about $0.0009 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.

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