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 kalyvask/winning-writing --skill irrelevant-detail-killergit clone --depth 1 https://github.com/kalyvask/winning-writingWrote 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/kalyvask/winning-writing/irrelevant-detail-killer)<a href="https://agentmods.dev/skills/kalyvask/winning-writing/irrelevant-detail-killer"><img src="https://agentmods.dev/badge/skills/kalyvask/winning-writing/irrelevant-detail-killer/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/kalyvask/winning-writing/irrelevant-detail-killer"><img src="https://agentmods.dev/badge/skills/kalyvask/winning-writing/irrelevant-detail-killer.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 | $0.00112 | $0.01720 |
| Opus 5 | $0.00056 | $0.00860 |
| Sonnet 5 | $0.00022 | $0.00344 |
| Haiku 4.5 | $0.00011 | $0.00172 |
Grade A, and why
irrelevant-detail-killer 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Irrelevant detail killer
Source: Glenn Kramon's Winning Writing — the rule named explicitly in class as "essential to great writing." The two-word version: eliminate irrelevant detail.
The problem this skill solves
Strong writers know to be cinematic. They put scenes, sensory details, dates, and dialogue into their prose. The danger is the opposite of generic writing: too much cinematic texture, and the details start to distract from the argument the piece is making.
A draft can have vivid detail and still fail to move the reader, because the reader is being asked to absorb sensory information that doesn't lead anywhere. The mechanics outside the gate, the weather, the sounds of the street, the eccentric neighbor — all might be real, all might be memorable, none might serve the piece.
The two questions to ask of every detail in a narrative paragraph:
- Does this detail serve the main point?
- If I cut it, what is lost — texture, or the argument?
If the answer to 1 is no and the answer to 2 is texture, cut it. If the answer to 2 is the argument, keep it.
When this differs from sibling skills
compressioncuts words (adverbs, hedges, throat-clearing). This skill cuts whole details — full sensory descriptions, eccentric characters, atmospheric paragraphs.pick-a-lanecuts whole stories. This skill cuts within a story — removing details that survive after you've picked the right story but don't earn their place.vividness --mode scene-leveladds cinematic detail to abstract prose. This skill removes cinematic detail when the prose is already concrete but going off-piste.
In a typical workflow:
- Run
pick-a-laneto choose the story. - Run
vividness --mode scene-levelto make the chosen story cinematic. - Run this skill to remove the cinematic detail that the second pass over-supplied.
The pattern that wastes texture
Most over-detailed paragraphs follow this shape:
Opens with a specific scene-setting moment (good).
Then describes the street, the weather, the time of day, the people walking past, the building across the way, the mechanic in his shop, the carpenters hammering, the metal workers striking steel, the sparks flashing (all vivid, none related to the point).
Then returns to the actual subject of the paragraph two sentences later.
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 · 116 lines · 112 tokens per session scan A 54e7ef353fd0
irrelevant-detail-killer is a skill published in the GitHub repository kalyvask/winning-writing (14 stars, last pushed 6d ago), licensed MIT. It adds 112 tokens to every session and 1,720 once invoked, about $0.0006 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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