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 fledgeling-co/fledgeling-plugins --skill create-storygit clone --depth 1 https://github.com/fledgeling-co/fledgeling-pluginsWrote 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/fledgeling-co/fledgeling-plugins/create-story)<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/create-story"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/create-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/fledgeling-co/fledgeling-plugins/create-story"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/create-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 | $0.00239 | $0.02857 |
| Opus 5.5 | $0.00096 | $0.01143 |
| Sonnet 5.5 | $0.00048 | $0.00571 |
| Haiku 4.5 | $0.00024 | $0.00286 |
Grade A, and why
create-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 1mo 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
create-story: prose that follows on
A model writing a long story keeps the plot and loses the seams. The outline is honoured,
the characters are the right ones, and the second paragraph of a scene reads as if it were
written by someone who had skimmed the first. Readers feel it as the story losing its
train of thought. The research behind this skill (three deep-research reports, September
2026, in docs/deep-research/) traces it to four causes: the whole manuscript in context
dilutes the link to the paragraph just written; the model's prior treats a paragraph as a
self-contained idea; its prior on relationships resolves tension early; and reasoning run
inside the drafting call flattens the prose. Each of the four has a mechanical counter here, and
each of the four counters traces to an entry (E1 to E12) in references/evidence.md.
The counters are four files and five scripts rather than a longer prompt. A story bible and a beat sheet fix what each scene is for. A per-scene exit state, in JSON, carries who is where, holding what, feeling what, and what is still open, so the next scene is conditioned on the last one rather than on an impression of the book. A context-pack script assembles the drafter's whole input, including only the last two paragraphs of the scene before, so the window cannot widen by hand. A transition-audit script fails a scene with an orphan paragraph. And critique runs in a fresh context, never in the drafter's.
Whose voice
The skill owns structure and continuity. The voice is composed, and the composition is written down so a critic can quote which card a slip breaks:
- The base is the author. When the author is a named person, invoke that person's
content skill first (
create-luke-content:create-luke-contentfor Luke, routed to its book persona) and use its card inreferences/influences.mdas the base; run that skill's lint on every drafted scene at the format the persona names, as well as this skill's checks. When no author is named, the base is a card the user picks or one written for the story during planning. - Influences are at most three named authors from the catalogue, chosen with the user from the books they say they like. A card carries observable habits (person, tense, sentence-length band, dialogue share, named moves, what to borrow and what to leave), never themes or plots, because an influence is a way of writing and a borrowed subject reads as pastiche.
- Compose, then measure.
voice_card.py compose --base "Luke Rhodes" --influence "Andy Weir" --influence "Hugh Howey"prints the## Voicesection: merged bands, at most five rules with their card named, borrow and leave lists, and the sample slot. Paste it into the bible. After each draft,voice_card.py check story/scenes/<id>.md --bible story/bible.mdfails a scene outside the bands, and the critic's Voice table quotes a slip against each rule. - Recall is kept apart from sources. A card's
recall:lines come from a model trained on the books (docs/recall-brief.md, run from a plain terminal);compose --use-recalladmits them after the sourced moves, each suffixed [recall], so the critic knows which rule rests on a citation and which on memory. - An author not in the catalogue gets a card before drafting: sourced from interviews, reviews or stylometry that state observable features, with the sources listed on the card, never from memory of the books.
What ships with it
14 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.
- assets/example/beats.json 1.9 KB
- assets/example/bible.md 3.2 KB
- assets/example/scenes/L1-hold-01.md 937 B
- assets/example/state/L1-hold-01.json 994 B
- references/evidence.md 14 KB
- references/influences.md 18 KB
- references/narration.md 5.4 KB
- references/passes.md 5.4 KB
- references/state-schema.md 5.4 KB
- scripts/context_pack.py 7.2 KB runs code
- scripts/narration_check.py 11 KB runs code
- scripts/story_state.py 13 KB runs code
- scripts/transition_audit.py 17 KB runs code
- scripts/voice_card.py 13 KB runs code
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.
- 1mo ago Changed 32af23e1256e
- 1mo ago First seen · 212 lines · 239 tokens per session scan A 33ea60f64d58
create-story is a skill published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed 4d ago), licensed MIT. It adds 239 tokens to every session and 2,857 once invoked, about $0.0010 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 2026-09-05.
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