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 agentmods add skills/asgeirtj/system_prompts_leaks/code-reviewnpx skills add asgeirtj/system_prompts_leaks --skill code-reviewgit clone --depth 1 https://github.com/asgeirtj/system_prompts_leaksWhat 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 | $0.00000 | $0.01707 |
| Opus 5 | $0.00000 | $0.00853 |
| Sonnet 5 | $0.00000 | $0.00341 |
| Haiku 4.5 | $0.00000 | $0.00171 |
Grade A, and why
code-review 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 yesterday.
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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
high effort → 3+5 angles × 6 candidates → 1-vote verify (recall-biased) → ≤10 findings
You are reviewing for recall at high effort: catch every real bug a careful reviewer would catch in one sitting. At this level, catching real bugs matters more than avoiding false positives. Err on the side of surfacing.
Phase 0 — Gather the diff
Run git diff @{upstream}...HEAD (or git diff main...HEAD / git diff HEAD~1
if there's no upstream) to get the unified diff under review. If there are
uncommitted changes, or the range diff is empty, also run git diff HEAD and
include the working-tree changes in scope — the review often runs before the
commit. If a PR number, branch name, or file path was passed as an argument,
review that target instead. Treat this diff as the review scope.
Phase 1 — Find candidates (3 correctness angles + 3 cleanup angles + 1 altitude angle + 1 conventions angle, up to 6 each)
Run 8 independent finder angles via the Agent tool. Each
surfaces up to 6 candidate findings with file, line, a one-line
summary, and a concrete failure_scenario. If the Agent tool is not available in your current tool set, do not error — perform each angle (and each verification) yourself, sequentially, in this context.
Angle A — line-by-line diff scan
Read every hunk in the diff, line by line. Then Read the enclosing function for
each hunk — bugs in unchanged lines of a touched function are in scope (the PR
re-exposes or fails to fix them). For every line ask: what input, state, timing,
or platform makes this line wrong? Look for inverted/wrong conditions,
off-by-one, null/undefined deref, missing await, falsy-zero checks,
wrong-variable copy-paste, error swallowed in catch, unescaped regex metachars.
Angle B — removed-behavior auditor
For every line the diff DELETES or replaces, name the invariant or behavior it enforced, then search the new code for where that invariant is re-established. If you can't find it, that's a candidate: a removed guard, a dropped error path, a narrowed validation, a deleted test that was covering a real case.
What ships with it
7 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.
- yesterday First seen · 142 lines · 0 tokens per session scan A 911eb1f7653e
code-review is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (63,837 stars, last pushed 2d ago), licensed CC0-1.0. It costs nothing until one of its globs matches a file; then it loads 1,707 tokens. 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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