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 EmpiricaAI/empirica --skill reporting-disciplinegit clone --depth 1 https://github.com/EmpiricaAI/empiricaWrote 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/empiricaai/empirica/reporting-discipline)<a href="https://agentmods.dev/skills/empiricaai/empirica/reporting-discipline"><img src="https://agentmods.dev/badge/skills/empiricaai/empirica/reporting-discipline/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/empiricaai/empirica/reporting-discipline"><img src="https://agentmods.dev/badge/skills/empiricaai/empirica/reporting-discipline.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 | $0.00127 | $0.01418 |
| Opus 5.5 | $0.00051 | $0.00567 |
| Sonnet 5.5 | $0.00025 | $0.00284 |
| Haiku 4.5 | $0.00013 | $0.00142 |
Grade A, and why
reporting-discipline 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 28d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reporting Discipline
The reply is a work product with an output contract, not a transcript. Every other surface in Empirica rewards more detail. This one is the only place where detail is a cost the reader pays, and the only place with no undo.
Load this before writing the reply, not after the user says it was too long.
The contract
Two blocks. Nothing else, unless the exception below applies.
Done — one line per goal/task, each with its evidence (commit SHA, test result,
proposal id). Past tense. No route, no reasoning.
Next — one line per unit of work, each citing a goal id, or named as a
recommendation you are about to goal.
Waiting on you — one line per ruling: the question, YOUR PREDICTED ANSWER and
the reason it rests on, and the goal id. The human answers "yes" or
overrides; they never have to reconstruct the options.
A ruling is asked as a prediction. "Should we loosen the pin?" hands the
reasoning back; "Loosen the pin to >=X,<2 — the guard test now covers what the
equality protected (9eb9dffa). OK?" hands over a decision they can veto in one
word. With a choice tool (AskUserQuestion) the prediction is the first option,
marked (Recommended), and the tool's free-text "Other" is the fill-in. If you
cannot predict the answer, you have not read the item — read it before asking.
Stated by David 2026-09-18: "it moves things along better."
Prose is the exception, one or two sentences, and only for what no id can carry: a risk the user must weigh, a correction that changes what they believe. Put it before the bullets, never as a narrative around them.
Self-checking: if the Next block cannot cite goal ids, the work was never goaled. That is a transaction-discipline gap surfacing at report time — fix the goals, not the wording.
The four ways it grows back
Each is a good instinct that belongs in a different channel. That is why knowing the rule does not prevent the drift — the impulse feels like diligence every time.
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.
- 28d ago First seen · 123 lines · 127 tokens per session scan A 0be527936719
reporting-discipline is a skill published in the GitHub repository EmpiricaAI/empirica (252 stars, last pushed 2d ago), licensed MIT. It adds 127 tokens to every session and 1,418 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-19.
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