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.
git clone --depth 1 https://github.com/Kinneyzhang/source-faithful-summary-skillWrote 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/rules/kinneyzhang/source-faithful-summary-skill/source-faithful-summary)<a href="https://agentmods.dev/rules/kinneyzhang/source-faithful-summary-skill/source-faithful-summary"><img src="https://agentmods.dev/badge/rules/kinneyzhang/source-faithful-summary-skill/source-faithful-summary/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/rules/kinneyzhang/source-faithful-summary-skill/source-faithful-summary"><img src="https://agentmods.dev/badge/rules/kinneyzhang/source-faithful-summary-skill/source-faithful-summary.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 | $0.00000 | $0.00262 |
| Opus 5 | $0.00000 | $0.00131 |
| Sonnet 5 | $0.00000 | $0.00052 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
source-faithful-summary 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 10d 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
Source-Faithful Summary
When summarizing source material, first preserve the source before adding analysis.
Required intermediate artifacts:
- Source type classification.
- Source map with timestamps or section references.
- Named concepts and role classification.
- Failure modes/tensions/default workflow rejected.
- Action chain or argument chain.
- Decision-model map.
- Main-thread and reverse-summary audits.
Optimize for:
source fidelity > elegance
attention weight > concept density
evidence > vibes
decision model > isolated tips
For practical/workflow sources, extract:
failure mode → underlying constraint → judgment → concrete action → tradeoff/limit
Do not turn a practical source into a polished concept essay unless explicitly asked.
Long sources
For sources longer than ~50k characters, longer than ~60 minutes, or multi-speaker/panel transcripts, use templates/long-source-plan.md before summarizing. State chunking/sampling strategy, chapter coverage, recurrence checks, speaker coverage, and evidence budget.
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.
- 10d ago First seen · 41 lines · 0 tokens per session scan A e4ba8580e774
source-faithful-summary is a cursor rule published in the GitHub repository Kinneyzhang/source-faithful-summary-skill (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 262 tokens. 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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