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 fatihguner/foreman --skill appreciative-inquirygit clone --depth 1 https://github.com/fatihguner/foremanWrote 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/fatihguner/foreman/appreciative-inquiry)<a href="https://agentmods.dev/skills/fatihguner/foreman/appreciative-inquiry"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/appreciative-inquiry/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/fatihguner/foreman/appreciative-inquiry"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/appreciative-inquiry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00084 | $0.03268 |
| Opus 5 | $0.00042 | $0.01634 |
| Sonnet 5 | $0.00017 | $0.00654 |
| Haiku 4.5 | $0.00008 | $0.00327 |
Grade A, and why
appreciative-inquiry 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 3d 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read runtime and advisory rules before applying this skill. Other Foreman layers and the catalog are in ../../content/, relative to this SKILL.md.
Appreciative Inquiry
Stop fixing problems. The orthodox approach to organisational change -- diagnose what is broken, analyse root causes, prescribe solutions -- carries an unexamined assumption: that progress comes from eliminating deficits. David Cooperrider, working at Case Western Reserve University in the 1980s, proposed something radical. What if the fastest path to transformation is not fixing weaknesses but systematically amplifying strengths? What if the questions you ask determine the reality you find -- and organisations that ask "what is wrong?" get very good at cataloguing dysfunction, while organisations that ask "what works brilliantly, and how do we get more of it?" generate energy, alignment, and change that deficit-based approaches rarely achieve?
This is not positive thinking. Appreciative Inquiry (AI) is a structured methodology backed by four decades of organisational research. It does not deny problems; it reframes the unit of analysis. Rather than treating the organisation as a machine with broken parts, AI treats it as a living system whose best moments contain the DNA of its future. The shift is neither naive nor cosmetic -- it is epistemological.
The Framework
The Core Principle: The Constructionist Premise
Appreciative Inquiry rests on a foundational claim: organisations move in the direction of the questions they ask. Questions are not neutral instruments of discovery; they are interventions that shape what people notice, discuss, and ultimately create. An organisation that habitually asks "why did we fail?" develops sophisticated failure narratives. An organisation that asks "when did we succeed against the odds, and what made that possible?" develops actionable success patterns.
This is not a rejection of critical analysis. It is a recognition that the inquiry itself is generative -- it creates the conditions for the reality it investigates.
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.
- 3d ago Changed · +226 lines · +84 tokens per session d45147336cea
- 9d ago First seen · 1 lines · 0 tokens per session scan A 0b8eae7c0a21
appreciative-inquiry is a skill published in the GitHub repository fatihguner/foreman (48 stars, last pushed 4d ago), licensed MIT. It adds 84 tokens to every session and 3,268 once invoked, about $0.0004 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 2026-08-30.
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