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 nthnclrk/enablement-skills --skill enablement-impact-storygit clone --depth 1 https://github.com/nthnclrk/enablement-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/nthnclrk/enablement-skills/enablement-impact-story)<a href="https://agentmods.dev/skills/nthnclrk/enablement-skills/enablement-impact-story"><img src="https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/enablement-impact-story/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/nthnclrk/enablement-skills/enablement-impact-story"><img src="https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/enablement-impact-story.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 | $0.00081 | $0.01014 |
| Opus 5.5 | $0.00032 | $0.00406 |
| Sonnet 5.5 | $0.00016 | $0.00203 |
| Haiku 4.5 | $0.00008 | $0.00101 |
Grade A, and why
enablement-impact-story 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 24d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enablement impact story
Explain what an enablement initiative achieved, how confidently the evidence supports that conclusion, and what leadership should decide next.
For an edit, preserve accurate wording that already serves the decision. Add a calculation, caveat, or section only if it changes what the reader can conclude or do.
Fails. "The onboarding program delivered 4.2x ROI and caused the 9-point win-rate lift."
Passes. "Day-90 ramp rose 11 points for the Q1 cohort versus the prior two cohorts. Observed result only. We cannot claim causality or ROI: there is no comparison design, and incremental cost is incomplete."
If the user needs the KPI tree or instrumentation, use enablement-metrics-and-instrumentation first.
Inputs
Ask only for the inputs that change the claim:
- Initiatives in scope and the decision this memo must support
- Baseline and current values, with population, definition, and period
- Known confounders and any comparison or counterfactual
- For financial ROI only: incremental cost, monetized benefit, time horizon, and the attributable share someone will defend
If financial inputs are incomplete, write an observed-results or contribution story. Do not label it ROI. Do not invent win rates, usage, or ROI.
Supporting material
Read references/impact-story-template.md for claim-mode rules, the ROI method, and worked excerpts. Skip the ROI section unless the user asked for a financial claim and the required inputs are present.
Procedure
- Set the evidence boundary. What is measured, for whom, over which comparable periods. Done when every change claim uses one definition, one population, and one pair of windows.
- Choose the claim mode. Use observed result, contribution, or causal effect according to the design and evidence. Treat financial ROI as an additional calculation, not a higher level of causal confidence. A pre/post change alone is an observed result; a contribution claim needs evidence linking the initiative to the result.
- Separate movement from meaning. Show the change in terms the reader can use. Calculate absolute and relative change where useful, but include both only when the distinction matters. Put the relevant caveat beside the claim.
- Build the chain only as far as the evidence goes. Enablement action → behavior change → business outcome. Missing a link means the claim stops at the last supported step.
- State the limits that matter to the decision. Identify unsupported causality, ROI, segment generalisation, or monetised benefit when the draft makes or implies that claim. A short update can include the relevant limit in a sentence. Do not add a financial caveat to a non-financial update unless it affects the requested decision.
- Calculate ROI only when the inputs are complete. Attributable benefit, total incremental cost, net benefit, range. Gross revenue or pipeline influenced is not economic benefit. Zero or missing cost blocks the calculation.
- Convert the story into a decision. Make the requested recommendation clear and bounded. Use continue, adjust, or stop when helpful; do not add an options exercise to an already sound recommendation.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 24d ago Changed · +2 lines 753866ec41fe
- 2mo ago First seen · 72 lines · 81 tokens per session scan A 26baf6953538
enablement-impact-story is a skill published in the GitHub repository nthnclrk/enablement-skills (16 stars, last pushed 25d ago), licensed MIT. It adds 81 tokens to every session and 1,014 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 2026-08-30.
enablement-impact-story compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| enablement-impact-storynthnclrk/enablement-skills | Skill | 16 | 25d ago | MIT | A | 81 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |