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 5w1h-analysisgit 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/5w1h-analysis)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/5w1h-analysis"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/5w1h-analysis/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/5w1h-analysis"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/5w1h-analysis.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 | $0.00069 | $0.00811 |
| Opus 5 | $0.00034 | $0.00405 |
| Sonnet 5 | $0.00014 | $0.00162 |
| Haiku 4.5 | $0.00007 | $0.00081 |
Grade A, and why
5w1h-analysis 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 12d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
5W1H Analysis
Use this skill to clarify the basic facts of a situation before deeper analysis.
Method Notes
- 5W1H means Who, What, When, Where, Why, and How.
- It is a simple clarification method, not a full diagnosis.
- It is useful when the input is messy, missing basic context, or mixing facts and interpretations.
- The method should produce clear missing-information questions and a sharper problem statement.
Required Inputs
Collect or infer these inputs before execution:
- raw situation description
- known stakeholders or actors
- event, problem, decision, or plan
- timing and location or context
- current explanation or desired outcome
If an input is missing, mark it as unknown and add a targeted question.
When Not To Use
Do not use as evidence grading, root-cause proof, or strategic diagnosis. Use evidence-map when source quality and confidence matter; use five-whys-root-cause only after the observed problem is clear. Stop after the basic situation frame is complete.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Clarify who | Stakeholders, actors, owners, affected parties. | Identify who is involved, who decides, who acts, and who is affected. | Who map. |
| Clarify what | Event, decision, problem, action, object. | State what happened, what is being decided, or what must be done. | What statement. |
| Clarify when | Timing, sequence, deadline, frequency. | Record when it happened, when it changed, and when action is needed. | Timing view. |
| Clarify where | Location, channel, process step, market, context. | State where the issue appears or where action must happen. | Context boundary. |
| Clarify why | Stated purpose, reason, motive, cause, expected value. | Separate stated reason from inferred reason. | Why view. |
| Clarify how | Process, mechanism, approach, resources. | Describe how it happens now and how action could happen. | How view. |
| Summarize gaps | Unknown fields. | Convert missing or weak fields into precise questions. | Clarification questions. |
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.
- 12d ago First seen · 79 lines · 69 tokens per session scan A 5fd6792e7b85
5w1h-analysis is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 24d ago), licensed Apache-2.0. It adds 69 tokens to every session and 811 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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