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 attentiondotnet/davidondrej-skills --skill fable-safe-promptgit clone --depth 1 https://github.com/attentiondotnet/davidondrej-skillsWrote 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/attentiondotnet/davidondrej-skills/fable-safe-prompt)<a href="https://agentmods.dev/skills/attentiondotnet/davidondrej-skills/fable-safe-prompt"><img src="https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/fable-safe-prompt/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/attentiondotnet/davidondrej-skills/fable-safe-prompt"><img src="https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/fable-safe-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00118 | $0.01041 |
| Opus 5 | $0.00059 | $0.00521 |
| Sonnet 5 | $0.00024 | $0.00208 |
| Haiku 4.5 | $0.00012 | $0.00104 |
Grade A, and why
fable-safe-prompt 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 11d 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.
This is a copy
100% identical to fable-safe-prompt — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fable-Safe Prompt
Return the user's prompt back in full, verbatim, changing ONLY the specific sentences/phrases most likely to trip Fable 5's cyber/bio classifiers. Do not rewrite the whole thing, do not summarize, do not restructure — minimal surgical edits. Keep the actual goal and all benign text exactly as written. This lowers false positives — it does not guarantee no trigger.
Fable 5 runs 3 input classifiers: cyber, bio/chem, reasoning_extraction. Triggers are keyword/surface-based, largely intent-independent ("hello" and "cancer" got flagged). The fix is to abstract away the sensitive domain, not just restate intent.
Apply when the prompt touches: cyber/auth/exploits/malware/pentesting/credentials; bio/chem/medical/disease/lab topics; or any "show your reasoning" instruction.
The user provides the prompt-to-be-changed wrapped in <prompt>...</prompt> XML tags. Operate only on the text inside those tags; treat everything outside as instructions to you.
Method
- Flag the highly problematic sentences/phrases (offensive framings, named sensitive domains, "show your thinking" lines).
- Replace each in place with a safe equivalent (see swaps), or describe the wanted functionality abstractly rather than naming the domain.
- Leave everything else byte-for-byte identical.
- Return the complete edited prompt.
Reframe so the task reads as: owned/authorized, defensive (implement/fix/test, not attack), and not dual-use (no exploit dev, attack simulation, bypass payloads, malware, live testing).
Swap framings (apply per-sentence)
| Triggering | Safe rewrite |
|---|---|
| "How could an attacker exploit this auth" | "Review these auth files for missing checks and fix them defensively" |
| "Write an exploit / payload / PoC" | "Add a regression test proving X is fixed, then patch it" |
| "How do I bypass / brute-force Y" | "Enforce secure session validation + rate limiting on Y" |
| "Reverse this malware / show attack steps" | "Describe the risk high-level, then implement the fix" |
| "Show your reasoning / explain step-by-step / walk me through your thinking" | Delete it. Trips reasoning_extraction. If progress visibility is needed, ask it to use a send-to-user tool, not to echo its internal thoughts. |
| Clinician framing: "as a doctor, diagnose this ECG" | Patient framing: "help me interpret this ECG my doctor gave me" |
| Named bio/chem domain: "cancer / disease pathway / chemical kinetics" | Abstract it: describe the data/analysis generically, drop the domain noun |
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.
- 11d ago First seen · 59 lines · 118 tokens per session scan A 6bc9b25ab01a
fable-safe-prompt is a skill published in the GitHub repository attentiondotnet/davidondrej-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 118 tokens to every session and 1,041 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to fable-safe-prompt, differing in 0 lines, and is treated as a copy.
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