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 obra/superpowers-skills --skill tracing-knowledge-lineagesgit clone --depth 1 https://github.com/obra/superpowers-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/obra/superpowers-skills/tracing-knowledge-lineages)<a href="https://agentmods.dev/skills/obra/superpowers-skills/tracing-knowledge-lineages"><img src="https://agentmods.dev/badge/skills/obra/superpowers-skills/tracing-knowledge-lineages/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/obra/superpowers-skills/tracing-knowledge-lineages"><img src="https://agentmods.dev/badge/skills/obra/superpowers-skills/tracing-knowledge-lineages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00023 | $0.01666 |
| Opus 5 | $0.00012 | $0.00833 |
| Sonnet 5 | $0.00005 | $0.00333 |
| Haiku 4.5 | $0.00002 | $0.00167 |
Grade A, and why
Tracing Knowledge Lineages 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 11d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tracing Knowledge Lineages
Overview
Ideas have history. Understanding why we arrived at current approaches - and what was tried before - prevents repeating failures and rediscovers abandoned solutions.
Core principle: Before judging current approaches or proposing "new" ones, trace their lineage.
When to Trace Lineages
Trace before:
- Proposing to replace existing approach (understand why it exists first)
- Dismissing "old" patterns (they might have been abandoned for wrong reasons)
- Implementing "new" ideas (they might be revivals worth reconsidering)
- Declaring something "best practice" (understand its evolution)
Red flags triggering lineage tracing:
- "This seems overcomplicated" (was it simpler before? why did it grow?)
- "Why don't we just..." (someone probably tried, what happened?)
- "This is the modern way" (what did the old way teach us?)
- "We should switch to X" (what drove us away from X originally?)
Tracing Techniques
Technique 1: Decision Archaeology
Search for when/why current approach was chosen:
- Check decision records (common locations:
docs/decisions/,docs/adr/,.decisions/, architecture decision records) - Search conversations (skills/collaboration/remembering-conversations)
- Git archaeology (
git log --all --full-history -- path/to/file) - Ask the person who wrote it (if available)
Document:
## Lineage: [Current Approach]
**When adopted:** [Date/commit]
**Why adopted:** [Original problem it solved]
**What it replaced:** [Previous approach]
**Why replaced:** [What was wrong with old approach]
**Context that drove change:** [External factors, new requirements]
Technique 2: Failed Attempt Analysis
When someone says "we tried X and it didn't work":
Don't assume: X is fundamentally flawed Instead trace:
- What was the context? (constraints that no longer apply)
- What specifically failed? (the whole approach or one aspect?)
- Why did it fail then? (technology limits, team constraints, time pressure)
- Has context changed? (new tools, different requirements, more experience)
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.
- 11d ago First seen · 204 lines · 23 tokens per session scan A c8b863cd6477
Tracing Knowledge Lineages is a skill published in the GitHub repository obra/superpowers-skills (747 stars, last pushed 11mo ago), licensed MIT. It adds 23 tokens to every session and 1,666 once invoked, about $0.0001 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 2026-08-30.
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