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 Rkamirage/consulting-research-to-output --skill structure-consulting-storylinegit clone --depth 1 https://github.com/Rkamirage/consulting-research-to-outputWrote 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/rkamirage/consulting-research-to-output/structure-consulting-storyline)<a href="https://agentmods.dev/skills/rkamirage/consulting-research-to-output/structure-consulting-storyline"><img src="https://agentmods.dev/badge/skills/rkamirage/consulting-research-to-output/structure-consulting-storyline/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/rkamirage/consulting-research-to-output/structure-consulting-storyline"><img src="https://agentmods.dev/badge/skills/rkamirage/consulting-research-to-output/structure-consulting-storyline.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 | $0.00100 | $0.01058 |
| Opus 5 | $0.00050 | $0.00529 |
| Sonnet 5 | $0.00020 | $0.00212 |
| Haiku 4.5 | $0.00010 | $0.00106 |
Grade A, and why
structure-consulting-storyline 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structure Consulting Storyline
Turn an approved answer into a sequence that changes what the reader understands, believes, or can do. The central case lead retains approval.
Confirm the handoff
Require the management question/use, approved answer v1 or message spine, hypothesis results, approved content-spine payloads with grain/entitlement/qualifiers, communication job and real ask, Audience/Onboarding Contract locator, and storyline_entry: ready.
Return upstream if a material claim is unresolved, a user-obtainable gap remains unoffered in the decision window, or a narrative step needs new evidence. Preserve an approved bounded answer and continuation gate rather than implying certainty.
Build one belief journey
- Write the qualified governing thought.
- Build an answer pyramid or another architecture suited to the answer—not a template.
- Define the reader's starting belief, the new belief each section earns, the turning point, and the landing: understanding, warning, learning, instruction, escalation, or decision.
- Make each section's landing the next section's premise.
- Read titles alone; each must answer the prior implicit question or create the next one, and together they must form one argument.
Use because / therefore / but at section boundaries only as a diagnostic. If no honest bridge exists without inventing a claim, reorder, merge, or return the gap; never add the bridge as a page field. Use story-archetypes.md only when pattern choice is genuinely uncertain.
Pass the canonical page brief
For every page provide exactly:
page job | message/title | proof | source locator
page jobis the page's distinct cognitive function: orient, correct, compare, pressure-test, sequence, or land. In a short storyline, reuse a job label only when the repeated function is intentional and advances different proof; never use an output-class label as a page job. If briefs are tabular, render four real columns; otherwise use one explicit four-field line.message/titlematches approved claim state; functional titles are valid for operating, appendix, reference, definition, and divider pages.proofis the eligible content shown: exact fact, number, worked example, observed mechanism, bounded comparison, or explicit gap. An exhibit name such ascapability matrix,risk framework,RACI, orcontrol mapis not proof.source locatorrecovers the content-spine row, evidence chain, or analysis note.
What ships with it
6 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.
- 12d ago First seen · 58 lines · 100 tokens per session scan A e284d9d2c5b3
structure-consulting-storyline is a skill published in the GitHub repository Rkamirage/consulting-research-to-output (4 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,058 once invoked, about $0.0005 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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