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 jeffreytse/grimoire-core --skill apply-consequence-claritygit clone --depth 1 https://github.com/jeffreytse/grimoire-coreWrote 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/jeffreytse/grimoire-core/apply-consequence-clarity)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-consequence-clarity"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-consequence-clarity/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/jeffreytse/grimoire-core/apply-consequence-clarity"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-consequence-clarity.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 | $0.00049 | $0.02921 |
| Opus 5 | $0.00024 | $0.01460 |
| Sonnet 5 | $0.00010 | $0.00584 |
| Haiku 4.5 | $0.00005 | $0.00292 |
Grade A, and why
apply-consequence-clarity 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 8d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply Consequence Clarity
Design consequences to be clear, certain, and swift — because certainty and timing determine behavior modification more than magnitude, and a small immediate consequence changes behavior more reliably than a large delayed one.
Why This Is Best Practice
Shang Yang's 赏刑篇 (~4th century BC) articulates four required properties of effective rewards and punishments: 明 (clear — people know exactly which behavior leads to which consequence), 必 (certain — consequence reliably follows the behavior), 速 (swift — minimal delay between behavior and consequence), and 平 (proportionate — severity matches the offense). His argument: a legal system with low certainty of enforcement is worse than no system — it teaches people that violations are low-risk. The consequence properties matter more than their magnitude. This principle was the operating foundation of Shang Yang's legal reforms in Qin, which transformed Qin from a weak peripheral state into the power that ultimately unified China.
B.F. Skinner — operant conditioning: The foundational finding in behavioral psychology: reinforcement timing and consistency determine behavior change far more than reward magnitude. A lever-press rewarded immediately produces rapid conditioning; the same reward delivered 30 seconds later produces no conditioning. Fixed-ratio schedules (certain reward every N responses) produce sustained behavior; variable-ratio schedules (uncertain) produce higher frequency but lower stability. This research is the basis of behavioral therapy, organizational behavior management, and behavioral economics globally.
Daniel Kahneman & Amos Tversky — Prospect Theory (1979, Nobel 2002): People discount future consequences exponentially with delay (temporal discounting). A $100 consequence tomorrow is psychologically valued much higher than a $100 consequence in six months, even though the amounts are identical. Consequence timing determines psychological impact, not just nominal value.
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.
- 8d ago First seen · 83 lines · 49 tokens per session scan A 99d440e12997
apply-consequence-clarity is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 23d ago), licensed MIT. It adds 49 tokens to every session and 2,921 once invoked, about $0.0002 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 2026-09-03.
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