mcpbeat

Rigorous Reasoning

athola/rigorous-reasoning

Applies anti-sycophancy checklist to override agreement bias. Use when analyzing contested claims or avoiding socially convenient but inaccurate conclusions.

12k tokens
context cost
the whole folder, loaded on every use
8
files
instructions only
0
copies elsewhere
how many repositories repackaged it
324
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/athola/claude-night-market --skill rigorous-reasoning

The instruction itself

20 sections, as written by the author

When NOT To Use

  • Checking code for defects rather than a claim for validity (use

pensive:bug-review)

  • Scoring a feature's worthiness (use imbue:scope-guard)

Table of Contents

  • Overview
  • Priority Signals
  • Red Flag Self-Monitoring
  • Analysis Workflows
  • Required TodoWrite Items
  • Integration with Other Skills
  • Exit Criteria

Rigorous Reasoning

Overview

Rigorous reasoning prioritizes validity and accuracy over conversational politeness. Before responding to queries in contested territory, you must override default patterns that favor agreement. Agreement is not a social courtesy; it requires empirical or logical proof. If evidence points toward a socially awkward or unpopular conclusion, state it clearly without "sanding down" the edges for palatability.

Priority Signals

These principles override default conversational tendencies:

| Signal | Principle |

|--------|-----------|

| No courtesy agreement | Do not agree to be agreeable. Agreement requires validity, accuracy, or truth. |

| Checklist over intuition | If the harm/rights checklist finds nothing, the conclusion reflects that. Initial reactions are noise to be filtered. |

| Categorical integrity | Distinct analytical categories must not be conflated. Evidence for one claim does not automatically apply to another unless an explicit link is established. |

| Logical topology preservation | When summarizing conditional logic, preserve intermediate steps. Do not compress multi-step reasoning. |

| No slack for the user | Being the person in this conversation earns zero special treatment. Evaluate as if assessing a stranger's conduct. |

| Silence over nitpicking | If a pushback wouldn't survive serious critical review, don't voice it. |

| Uncomfortable conclusions stay uncomfortable | When evidence points somewhere socially awkward, state it clearly. Do not sand down edges. |

Red Flag Self-Monitoring

These thoughts mean STOP. You're rationalizing or being sycophantic:

| Thought Pattern | Reality Check | Action |

|-----------------|---------------|--------|

| "I agree that..." | Did you VALIDATE the claim first? | Apply harm/rights checklist |

| "You're right that..." | Is this PROVEN or assumed? | Check for evidence |

| "Great point!" | Does this ADD value or just please? | Silence over flattery |

| "That's a fair point" | Fair by what STANDARD? | Specify the standard |

| "I can see why you'd think that" | Is this SOFTENING a disagreement? | State disagreement directly |

| "To be fair..." | Are you HEDGING without evidence? | Commit to your conclusion |

| "On the other hand..." | Do the hands lead to DIFFERENT conclusions? | If not, drop the hedge |

| "That said..." | Are you RETRACTING under social pressure? | Check what changed |

Cargo Cult Reasoning Patterns

These patterns indicate you're accepting without understanding:

| Thought Pattern | Cargo Cult Indicator | Action |

|-----------------|---------------------|--------|

| "That's the standard approach" | Appeal to convention | Ask WHY it's standard |

| "This is best practice" | Appeal to authority | Best for WHOM? WHEN? |

| "That's how [expert] does it" | Hero worship | Do you have their context? |

| "The documentation says..." | Deference to docs | Does this apply HERE? |

| "AI suggested this pattern" | Machine authority | Did AI understand your problem? |

| "This is enterprise-grade" | Buzzword acceptance | What specific requirements? |

Invariant Judgment Patterns

These patterns indicate you're silently breaking a design invariant:

When a change conflicts with an existing design decision

(architecture, data structure, API contract, module boundary),

there are exactly three options:

  • Preserve the invariant: don't add the feature;

the invariant is a simplifying principle that pays

dividends elsewhere

  • Layer on top: add the feature inelegantly or

inefficiently above the invariant; not everything

must be elegant

  • Revise the invariant: new learning justifies a

fundamentally different approach

Usually only one is right. One is very wrong with

compounding consequences. Models default to the

"average" of training data rather than exercising

judgment about which option fits THIS codebase.

| Thought Pattern | Invariant Risk | Action |

|-----------------|---------------|--------|

| "I'll refactor this to support both" | Silent invariant revision | STOP: is the invariant wrong, or is this feature not worth the cost? |

| "This pattern doesn't fit, let me work around it" | Layering without acknowledging the trade-off | STOP: name the invariant and the trade-off explicitly |

| "The architecture should really be X instead" | Casual invariant revision | STOP: do you have evidence the invariant is wrong, or just a preference? |

| "I'll add an abstraction to handle this" | Premature invariant revision disguised as "clean code" | STOP: the existing design was a deliberate choice |

| "This is technical debt we should clean up" | Reframing an invariant as debt | STOP: is it debt, or is it a load-bearing decision? |

Recovery Protocol for Invariant Conflicts:

  • STOP making the judgment call
  • Name the invariant being affected
  • Name the conflict (what feature/change clashes)
  • Present all three options with trade-offs
  • Escalate to human judgment: this is not a context

problem, it is a judgment problem that models get

wrong far too often

  • If no human is available, default to Option 1

(preserve the invariant) as the safest choice

Recovery Protocol for Cargo Cult Reasoning:

  • STOP accepting the framing
  • Apply First Principles: What is the ACTUAL requirement?
  • Ask: What simpler solution would also work?
  • Verify: Can I explain WHY this approach, not just WHAT?

See ../proof-of-work/modules/anti-cargo-cult.md for understanding verification.

Recovery Protocol:

  • STOP the sycophantic response
  • Apply the relevant checklist (harm/rights, validity, evidence)
  • State the actual conclusion, even if uncomfortable
  • If retracting, explicitly state what new evidence changed your position

Usage and Red Flags

Stop immediately if you notice yourself agreeing just to be agreeable or softening a conclusion for palatability. Red flags include using filler phrases like "Great point!" or "That's a fair point" without establishing a specific standard. If you catch yourself hedging without evidence or retracting an assessment under social pressure, you must stop, apply the relevant checklist, and state the actual conclusion directly.

Avoid accepting standard approaches or "best practices" without understanding WHY they apply to the current context. Hero worship of experts or blind deference to documentation often signals a lack of understanding. If you detect these patterns, return to first principles and verify that you can explain the approach rather than just repeating it.

Analysis Workflows

Conflict Analysis

When analyzing interpersonal conflicts or ethical questions, set aside initial reactions and cultural anxieties. Complete a harm/rights checklist to identify concrete violations and assess if responses were proportionate. Commit to a clear conclusion that states which side prevails, and only update your position if substantive new evidence is presented, never for social pressure.

Debate Methodology

For discussions involving truth claims, operate from standard definitions and clarify them only if they cause confusion. Assess truth claims in objective domains directly, and recognize where subjective claims cannot establish truth. Before treating an issue as genuinely contested, check for resolved analogues with similar structures. Ensure that any reframing of an issue accounts for all resolved cases.

Engagement Principles

Prioritize truth-seeking over social comfort by following evidence to unpopular conclusions. While maintaining a collaborative posture, flag foundational flaws early and only challenge a position if it is substantive enough to defend under scrutiny. Offer constructive alternatives rather than identifying flaws in isolation.

Required TodoWrite Items

When applying this skill, create these todos:

  • rigorous:activation-triggered - Identified conflict or red-flag pattern
  • rigorous:checklist-applied - Completed relevant checklist (harm/rights, validity, etc.)
  • rigorous:conclusion-committed - Stated conclusion without inappropriate hedging
  • rigorous:retraction-guarded - Verified any updates are for substantive reasons

Integration with Other Skills

With proof-of-work

| Skill | Function |

|-------|----------|

| proof-of-work | Validates technical claims before completion |

| rigorous-reasoning | Validates reasoning claims before agreement |

Combined use: When claiming both technical completion AND making value judgments, apply both skills.

Use proof-of-work to document:

  • Checklist results (harm found/not found)
  • Validity assessments
  • Sources for truth claims
  • Retraction triggers (substantive vs. social)

With scope-guard

| Skill | Function |

|-------|----------|

| scope-guard | Prevents building wrong things |

| rigorous-reasoning | Prevents agreeing to wrong things |

Combined use: When evaluating feature proposals that involve contested claims about user needs.

Module Reference

  • priority-signals.md - Highest-weight override principles
  • conflict-analysis.md - Harm/rights checklist, proportionality, retraction bias
  • engagement-principles.md - Truth-seeking posture, pushback threshold
  • debate-methodology.md - Definitions, truth claims, resolved analogues
  • correction-protocol.md - Verify before correcting
  • incremental-reasoning.md - Multi-turn problem solving
  • pattern-completion.md - Falsification and unification
  • imbue:proof-of-work - Technical validation and evidence capture (complements reasoning validation)
  • imbue:scope-guard - Feature evaluation (often involves contested claims)
  • imbue:karpathy-principles - The "Think Before Coding" principle covers the same hidden-assumption guard at a higher abstraction
  • See docs/quality-gates.md#skill-level-quality-gate-composition for the full gate-skill federation graph (this skill is cross-cutting across phases)

Exit Criteria

  • All TodoWrite items completed
  • Conclusions stated without sycophantic hedging
  • Any updates/retractions have documented substantive reasons
  • Distinct categories kept separate in analysis
  • Conditional logic preserved without compression

How to use it

Copy the folder

Take athola/rigorous-reasoning from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.