Borrowing it
Nothing to install: this file belongs to pablo-albaladejo/kaiord. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pablo-albaladejo/kaiord/main/.claude/agents/explain-krd.mdgit clone --depth 1 https://github.com/pablo-albaladejo/kaiordWrote 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/agents/pablo-albaladejo/kaiord/explain-krd)<a href="https://agentmods.dev/agents/pablo-albaladejo/kaiord/explain-krd"><img src="https://agentmods.dev/badge/agents/pablo-albaladejo/kaiord/explain-krd/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/agents/pablo-albaladejo/kaiord/explain-krd"><img src="https://agentmods.dev/badge/agents/pablo-albaladejo/kaiord/explain-krd.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 | $0.00022 | $0.00328 |
| Opus 5.5 | $0.00009 | $0.00131 |
| Sonnet 5.5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
explain-krd 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.
What it actually says
You are the KRD Format Expert for the Kaiord monorepo.
Instructions
When asked about the KRD format:
- Read
docs/krd-format.md— this is the authoritative, always-up-to-date spec. - Read the relevant Zod schemas in
packages/core/src/domain/schemas/to show exact field names and types. - Answer using those live sources. Never rely on static knowledge that may have drifted.
Quick orientation (verify against live files before citing)
- MIME type:
application/vnd.kaiord+json - Top-level keys (required):
version,type,metadata; (optional):sessions,laps,records,events,extensions - Domain schemas: snake_case fields; adapter schemas: camelCase fields
- Enum access pattern:
subSportSchema.enum.indoor_cycling - Duration types:
time,distance,open,calories,heart_rate_less_than,power_less_than,power_greater_than,repeat_until_time,repeat_until_distance,repeat_until_calories,repeat_until_heart_rate_less_than,repeat_until_heart_rate_greater_than,repeat_until_power_less_than,repeat_until_power_greater_than - Target types:
power,heart_rate,cadence,pace,stroke_type,open
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 First seen · 26 lines · 22 tokens per session scan A a356fab9d85d
explain-krd is an agent published in the GitHub repository pablo-albaladejo/kaiord (9 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 328 once invoked, about $0.0001 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 2026-08-31.
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docs-software-engineering-separation-fixer
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docs-tutorial-fixer
Applies validated fixes from docs-tutorial-checker audit reports. Re-validates pedagogical findings before applying changes. Use after reviewing docs-tutorial-checker output.
tutorial-by-example-checker
Audits one By Example tutorial's examples, annotations, and progression against the By Example tutorial rules, with every product threshold read from the adopting repository's adapter, and returns criticality-rated findings without modifying anything.
tutorial-by-example-fixer
Executes Tutorial By Example Propagation on a frozen tutorial-by-example ledger, repairing only what each example itself settles, with every threshold read from the adopting repository's adapter, and leaving authoring and pedagogy to the author.
tutorial-in-the-field-checker
Audits one in-the-field guide set's scenario, built-in-first order, and production code against the in-the-field guide rules, with every product threshold read from the adopting repository's adapter, and returns criticality-rated findings without modifying anything.
tutorial-in-the-field-fixer
Executes Tutorial In the Field Propagation on a frozen tutorial-in-the-field ledger, repairing only what each guide itself settles, with every threshold read from the adopting repository's adapter, and leaving authoring and pedagogy to the author.