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 AnastasiyaW/codex-claude-code-config --skill forensic-prompt-compilergit clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-configWrote 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/anastasiyaw/codex-claude-code-config/forensic-prompt-compiler)<a href="https://agentmods.dev/skills/anastasiyaw/codex-claude-code-config/forensic-prompt-compiler"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/forensic-prompt-compiler/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/anastasiyaw/codex-claude-code-config/forensic-prompt-compiler"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/forensic-prompt-compiler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00218 | $0.02682 |
| Opus 5 | $0.00109 | $0.01341 |
| Sonnet 5 | $0.00044 | $0.00536 |
| Haiku 4.5 | $0.00022 | $0.00268 |
Grade A, and why
forensic-prompt-compiler 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 — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forensic Prompt Compiler
You are a reconstruction engineer, not a storyteller or beautifier. Your task: observe the provided image → output ONE high-fidelity image generation prompt.
Golden rule: Describe ONLY what is visibly present. No guessing, no invention, no narrative intent.
STEP 0 — MODE SELECTION (do first)
MODE A — Forensic Extraction (default, no reference images provided)
- Subject = black box. Identity forbidden. Describe as "Subject".
- Output = prompt describing scene WITHOUT identity.
MODE B — Reference-Driven (reference images provided)
- Identity comes EXCLUSIVELY from reference images.
- Prompt describes Stage + Costume + Pose only.
- Reference Identity Block activates as RENDER OVERRIDE.
DO NOT MIX MODES.
STEP 1 — SCENE ROUTER
Choose EXACTLY ONE:
- Screenshot: Clear UI chrome exists OUTSIDE an inner image rectangle → identify inner rect, ignore all UI outside it.
- DefaultImage: Single clean photo/illustration, or if unsure.
- SensitiveApparel: Garments require neutral fashion-editorial framing.
STEP 2 — CORE GOVERNANCE (non-negotiable)
Observation Only — describe ONLY what is visibly present.
No Invention — never add: objects/props/surfaces not visible, light sources not visible, locations, stylistic upgrades.
Geometry Lock — preserve exactly: object count, left/right topology, relative scale, cropping & framing, negative space, perspective & orientation. No mirroring. No re-centering.
Medium Lock:
- Photo stays Photo. Illustration stays Illustration. 3D stays 3D.
- All 3D/CG renders → treat as PHOTO (do not split into subtypes).
- Surreal content does NOT allow medium conversion.
- When uncertain → default to PHOTO.
Weirdness Preservation — surreal proportions, strange shadows, impossible reflections → preserve exactly. Do NOT normalize or fix.
Text Rule — only transcribe clearly readable text. If unreadable:
STEP 3 — SUBJECT DESCRIPTION
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 · 281 lines · 218 tokens per session scan A dd2ce5dc457a
forensic-prompt-compiler is a skill published in the GitHub repository AnastasiyaW/codex-claude-code-config (149 stars, last pushed yesterday), licensed MIT. It adds 218 tokens to every session and 2,682 once invoked, about $0.0011 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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