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 JairoTorregrosa/jaiskills --skill compound-knowledgegit clone --depth 1 https://github.com/JairoTorregrosa/jaiskillsWrote 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/jairotorregrosa/jaiskills/compound-knowledge)<a href="https://agentmods.dev/skills/jairotorregrosa/jaiskills/compound-knowledge"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/compound-knowledge/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/jairotorregrosa/jaiskills/compound-knowledge"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/compound-knowledge.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 | $0.00075 | $0.00951 |
| Opus 5 | $0.00037 | $0.00476 |
| Sonnet 5 | $0.00015 | $0.00190 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
compound-knowledge 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 9d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compound Knowledge Skill
Capture a solved problem as searchable documentation so the team never solves the same problem twice.
Only ONE file gets written — the final documentation. All sub-agents return text only.
Categories
Solutions are organized into these categories (used as subdirectories under docs/solutions/):
build-errorstest-failuresruntime-errorsperformance-issuesdatabase-issuessecurity-issuesui-bugsintegration-issueslogic-errors
Filename Convention
docs/solutions/<category>/YYYY-MM-DD-<kebab-description>.md
Example: docs/solutions/runtime-errors/2026-02-13-null-pointer-in-auth-middleware.md
Solution Template
Use the template at solution-template.md for the final file format.
Orchestration: 3 Phases
Phase 1: Parallel Information Gathering (3 sub-agents via Task tool)
Spawn these three sub-agents in parallel using the Task tool. Each receives the conversation context about the solved problem and returns structured text. None of these sub-agents write files.
1a. Context Analyzer
Prompt: Analyze the conversation and codebase context to extract:
- Problem type: Which category from the list above best fits
- Affected area: Files, modules, or systems involved
- Severity: low / medium / high / critical
- How detected: How the problem surfaced (test failure, user report, monitoring alert, etc.)
- Impact: What was broken or degraded
Return as structured text.
1b. Solution Extractor
Prompt: Analyze the conversation and code changes to extract:
- Root cause: Why the problem happened (1-2 paragraphs)
- Code references: Specific files and lines involved
- What fixed it: The actual changes made (before/after snippets)
- Key insight: The non-obvious realization that led to the fix
Return as structured text.
1c. Prevention Strategist
Prompt: Based on the problem and solution, determine:
- How to prevent recurrence: Specific practices, checks, or guards
- Tests to add: What test cases would catch this in the future
- Monitoring: Any alerts or checks that should exist
- Related patterns: Similar problems that might exist elsewhere
What ships with it
1 file 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.
- 9d ago First seen · 113 lines · 75 tokens per session scan A 593822c28739
compound-knowledge is a skill published in the GitHub repository JairoTorregrosa/jaiskills (5 stars, last pushed 8d ago), licensed MIT. It adds 75 tokens to every session and 951 once invoked, about $0.0004 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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