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 gebruder/wirken --skill lyrikgit clone --depth 1 https://github.com/gebruder/wirkenWrote 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/gebruder/wirken/lyrik)<a href="https://agentmods.dev/skills/gebruder/wirken/lyrik"><img src="https://agentmods.dev/badge/skills/gebruder/wirken/lyrik/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/gebruder/wirken/lyrik"><img src="https://agentmods.dev/badge/skills/gebruder/wirken/lyrik.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 189 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium Excessive Agency · line 60 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00015 | $0.03597 |
| Opus 5 | $0.00008 | $0.01799 |
| Sonnet 5 | $0.00003 | $0.00719 |
| Haiku 4.5 | $0.00002 | $0.00360 |
Grade A, and why
lyrik 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lyrik (recon + multi-framing + scoring)
Run a security assessment of the codebase under <workspace> across two framings — auth and injection — and emit one finding per identified vulnerability per applicable framing. Each finding is scored across four axes by two independent passes. The runner aggregates the staging directory into the canonical findings.json.
Out of scope in this mode: Phase 0 (context document, separate rubric file), framings beyond auth and injection, two-pass framing union (the two passes here are scoring, not framing), three-pass scoring-disagreement gate and resolution, dedup, concentration index, gate-routed disclosed, exploit adapter. They return as separate slices.
Recon (mandatory, before any finding)
Before emitting any finding, you must read at least one source file in scope, and every path you cite in location.file must be a file you have actually opened in this turn. Inventing paths is the failure mode this section exists to prevent.
Recon steps:
-
Read scope. Open
.lyrik/config.jsonif present; honorscope.includeandscope.excludeglob lists. Otherwise treat the whole workspace as in-scope. Skip.git/and.lyrik/regardless. -
List files in scope. Use
list_files(<dir>)starting at the workspace root. For tiny workspaces (a handful of files), onelist_files(".")suffices. For larger ones, descend into subdirectories whose names suggest content under either framing — auth-relevant (auth/,session/,acl/,permission/,admin/,user/,login/,token/,crypto/) or injection-relevant (api/,handler/,parser/,eval,exec,shell,query, files exposing string-interpolated commands or SQL). -
Read the candidate files via
read_file(<path>). For tiny workspaces, read every source file. For larger ones, read at least one file matching each framing's heuristics. Ifread_filereturns an error, pick a different file. Do not synthesize content; do not cite a path you couldn't read.
What ships with it
1 file 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.
- 10d ago First seen · 190 lines · 15 tokens per session scan A 2fb4976cda59
lyrik is a skill published in the GitHub repository gebruder/wirken (171 stars, last pushed 6d ago), licensed MIT. It adds 15 tokens to every session and 3,597 once invoked, about $0.0001 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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