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 fzfclee/consulting-skills --skill deductive-reasoninggit clone --depth 1 https://github.com/fzfclee/consulting-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/fzfclee/consulting-skills/deductive-reasoning)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/deductive-reasoning"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/deductive-reasoning/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/fzfclee/consulting-skills/deductive-reasoning"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/deductive-reasoning.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 | $0.00058 | $0.00707 |
| Opus 5 | $0.00029 | $0.00353 |
| Sonnet 5 | $0.00012 | $0.00141 |
| Haiku 4.5 | $0.00006 | $0.00071 |
Grade A, and why
deductive-reasoning 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deductive Reasoning
Use this skill to test whether a conclusion follows from stated premises, rules, or criteria.
Method Notes
- Deductive reasoning moves from general rules or premises to a specific conclusion.
- A deductive conclusion is only as reliable as the premises and the logic connecting them.
- This method is strongest when rules, definitions, criteria, or constraints are explicit.
- It should separate validity from truth: an argument can be logically valid but built on a false or weak premise.
Required Inputs
Collect or infer these inputs before execution:
- conclusion or decision to test
- stated rules, criteria, principles, policies, or premises
- facts of the specific case
- scope boundary
- exceptions or override conditions
If an input is missing, mark it as missing, state the assumption used, and add a validation action.
When Not To Use
Do not use when there are no clear premises or rules and the task is pattern discovery. Use inductive-reasoning, abductive-reasoning, or affinity-diagram first.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| State the conclusion | Decision, claim, or recommendation. | Write the conclusion in one testable sentence. | Conclusion to test. |
| List premises | Rules, criteria, policies, principles, definitions. | Separate general premises from case-specific facts. | Premise list. |
| Check premise quality | Source, evidence, authority, scope. | Mark each premise as strong, medium, weak, or missing. | Premise quality table. |
| Map logic chain | Premises, case facts, conclusion. | Build the if-then path from premises to conclusion. | Logic chain. |
| Test validity | Logic chain, exceptions. | Check whether the conclusion necessarily follows if premises are true. | Validity judgment. |
| Check exceptions | Scope, edge cases, override conditions. | Identify conditions that weaken or reverse the conclusion. | Exception list. |
| Rewrite conclusion | Validity and premise quality. | State a careful conclusion that matches the actual logic strength. | Revised conclusion. |
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 · 77 lines · 58 tokens per session scan A 55ba5b630965
deductive-reasoning is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 20d ago), licensed Apache-2.0. It adds 58 tokens to every session and 707 once invoked, about $0.0003 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 2026-08-31.
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