precision-discipline

precision-discipline is a skill for Claude Code, Codex from adilkalam/orca. It costs 70 tokens per session (1,743 once invoked), scanned A, original, MIT.

A set of rules for work where results must be measured precisely and traced to their sources. It requires an artifact, source for each derived value, verification, and reproducible steps.

In plain words
What is it for?
Use it for precision workflows such as replicating measurable STL geometry within defined tolerances.
Why use it?
It prevents vague reasoning, guessed values, skipped checks, and results that cannot be reproduced.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for precision workflows such as replicating measurable STL geometry within defined tolerances.

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Install with agentmods
npx agentmods add skills/adilkalam/orca/precision-discipline
Install

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.

Any agent
npx skills add adilkalam/orca --skill precision-discipline
Clone the repo
git clone --depth 1 https://github.com/adilkalam/orca

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for precision-discipline

README.md
[![agentmods](https://agentmods.dev/badge/skills/adilkalam/orca/precision-discipline/github.svg)](https://agentmods.dev/skills/adilkalam/orca/precision-discipline)
Your own site
<a href="https://agentmods.dev/skills/adilkalam/orca/precision-discipline"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/precision-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.

agentmods 80×15 button for precision-discipline

Your own site · 80×15
<a href="https://agentmods.dev/skills/adilkalam/orca/precision-discipline"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/precision-discipline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.01743
Opus 5.5 $0.00028 $0.00697
Sonnet 5.5 $0.00014 $0.00349
Haiku 4.5 $0.00007 $0.00174

Measured 1mo ago against content hash 49521d18b623, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

precision-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 1mo 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.

skills/precision-discipline/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Precision Discipline

RULE: Every derived value cites its source. Every step produces its artifact. Every output gets measured.

When to Apply

Apply when a command or workflow flag activates precision mode:

  • /design --stl (STL geometry replication)
  • Any workflow where the output is measurable and the tolerance is defined

Do NOT apply to creative exploration, brainstorming, or research. Those use different constraint patterns.

Escape Hatch Detection

After EACH step in a precision workflow, answer these 4 questions before proceeding:

  1. Artifact or narrative? Did I produce the mandatory artifact for this step (table, comparison, tool output), or did I write prose ABOUT what I found?
  2. Sourced or summarized? Does every derived value cite a specific source (tool output field, coordinate pair, file:line), or did I use a summary phrase ("from the analysis", "based on measurements")?
  3. Done or moving on? Am I declaring this step complete because the artifact is complete, or because I want to get to the next step?
  4. Reproducible? If someone re-ran my exact tool calls with the same parameters, would they get the same values I'm reporting?

If ANY answer exposes an escape hatch: STOP. Go back. Produce the actual artifact.

Do not narrate the self-check. Do not write "I checked and all 4 passed." Either the artifact exists or it doesn't.

Constraint Chain Integration

Use cognition-mcp checkpoint calls to track precision constraints. Same cognition-mcp mechanism, with execution-specific constraint types.

Constraint Types

Type Meaning Resolves when
EVIDENCE Must produce this artifact before proceeding Artifact exists in output
VERIFY Must measure output against reference Comparison tool call completed with results shown
FORBIDDEN Cannot do this at all Never resolves -- permanent constraint
UNKNOWN Gap that cannot be filled from available data User provides the value, or explicitly accepted as unknown

Read the full file on GitHub · 175 lines

Changes

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.

  1. 1mo ago First seen · 175 lines · 70 tokens per session scan A 49521d18b623

Subscribe to this mod's changes

precision-discipline is a skill published in the GitHub repository adilkalam/orca (2 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 1,743 once invoked, about $0.0003 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 2026-09-03.

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