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 agentmods add skills/kicchann/reqord/contextnpx skills add kicchann/reqord --skill contextgit clone --depth 1 https://github.com/kicchann/reqordWhat 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 | $0.00030 | $0.02204 |
| Opus 5 | $0.00015 | $0.01102 |
| Sonnet 5 | $0.00006 | $0.00441 |
| Haiku 4.5 | $0.00003 | $0.00220 |
Grade A, and why
context 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 2d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
10 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.
- resources/ai-phases.md 6.0 KB
- resources/anti-patterns.md 6.2 KB
- resources/cli-reference.md 4.9 KB
- resources/dialogue-guidelines.md 5.2 KB
- resources/feedback-workflow.md 3.3 KB
- resources/git-conventions.md 1.8 KB
- resources/philosophy.md 4.5 KB
- resources/quality-framework.md 5.0 KB
- resources/task-workflow.md 2.7 KB
- resources/traceability.md 5.1 KB
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.
- 2d ago First seen · 150 lines · 30 tokens per session scan A f82db20bf147
context is a skill published in the GitHub repository kicchann/reqord (6 stars, last pushed 5mo ago), licensed AGPL-3.0. It adds 30 tokens to every session and 2,204 once invoked, about $0.0002 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.
Other skills, from other repositories
sdd-gen
Generate implementation code from approved SDD specifications. Includes automatic consistency check, quality audit, and self-correction loop. Supports single spec, multiple specs, or all approved specs in parallel.
sdd-audit
Internal — Comprehensive quality audit of generated code. Automatically called by sdd-gen after consistency check passes. Configurable via sdd.config.json.
sdd-build
Interactive spec builder — guides the developer through a conversation to discover and construct a complete SDD specification step by step. Use when the developer doesn't have all requirements upfront or needs help thinking through the design.
sdd-learn
Ingest external knowledge (files, directories, web pages) into a spec's context to inform the build process. Run before or during /sdd:sdd-build to give the AI deep project understanding.
sdd-review
Validate an SDD specification for completeness and quality. Use when the developer wants to check if a spec is ready for code generation.
sdd-check
Internal — Verify that generated code is consistent with its approved SDD specification. Automatically called by sdd-gen. Can also be invoked manually to detect drift after manual code changes.