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 sergeyizmailov/knowledge-delta-skills --skill knowledge-delta-skill-architectgit clone --depth 1 https://github.com/sergeyizmailov/knowledge-delta-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/sergeyizmailov/knowledge-delta-skills/knowledge-delta-skill-architect)<a href="https://agentmods.dev/skills/sergeyizmailov/knowledge-delta-skills/knowledge-delta-skill-architect"><img src="https://agentmods.dev/badge/skills/sergeyizmailov/knowledge-delta-skills/knowledge-delta-skill-architect/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/sergeyizmailov/knowledge-delta-skills/knowledge-delta-skill-architect"><img src="https://agentmods.dev/badge/skills/sergeyizmailov/knowledge-delta-skills/knowledge-delta-skill-architect.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 | $0.00091 | $0.03326 |
| Opus 5 | $0.00046 | $0.01663 |
| Sonnet 5 | $0.00018 | $0.00665 |
| Haiku 4.5 | $0.00009 | $0.00333 |
Grade A, and why
knowledge-delta-skill-architect 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge-Delta Skill Architect
01 02 03 = the numbered files under references/; read triggers in the table at the end.
Sources and their limits: 03.
The method here is model- and vendor-independent. What is not — numbers, runtime behavior — is confined
to 02: §0 for the numbers, inline flags wherever behavior is runtime-specific. When a spec or a
runtime changes, refresh 02.
Spend context only where the model's behavior changes.
Write for the target model, not as a human tutorial. Omit orientation, motivation, definitions, examples and spelled-out reasoning unless the baseline showed they prevent a failure; the gap is sometimes a missing definition. Keep decision rules, conditions, thresholds, discriminators, and the rationale that makes a rule generalize. Your default register is documentation; override it on purpose.
Classes
| Class | What you saw | Content | Budget |
|---|---|---|---|
| [W] | States it wrong, confidently, and never asks | Overwrite the prior | Highest value per token |
| [K] | Doesn't know, hedges, or invents plausibly | The fact | Scale to blast radius |
| [A] | Knows it, skips it under task pressure | One imperative line | Only if you saw the skip |
| [O] | Solves it acceptably, never considers the stronger option | That option + when it wins | High — most lore lands here |
| [R] | Gets it right unprompted, and nothing better exists | — | Delete |
[R] is a correctness bug, not waste: irrelevant context degrades reasoning, and content topically
adjacent to the task degrades it most — telling the model to ignore it barely helps. A redundant
paragraph inside your own domain is the most expensive token you can spend [inference]. Numbers: 03.
The path
| # | Step | Detail |
|---|---|---|
| 1 | Scope. Name the concrete tasks this skill must make go right, and the phrasings a user would arrive with. A topic is not a scope | below |
| 2 | Baseline. Run those tasks with no skill. Record what breaks | below |
| 3 | Research the confirmed gaps, then one bounded discovery phase | below |
| 4 | Triage into a keep-list where every rule names what it prevents or unlocks | 01 |
| 5 | Package — hub that routes, references that hold detail; folder name = name field, placed in the runtime's skills directory |
02 |
| 6 | Rerun the build tasks and held-out variants with the draft. Keep only what fixed an observed failure or unlocked a validated capability | below |
| 7 | Ship check | below |
What ships with it
3 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.
- 3d ago Changed · +19 lines 7483e610015a
- 10d ago First seen · 207 lines · 91 tokens per session scan A 8434fea86f7b
knowledge-delta-skill-architect is a skill published in the GitHub repository sergeyizmailov/knowledge-delta-skills (3 stars, last pushed 3d ago), licensed MIT. It adds 91 tokens to every session and 3,326 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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