Borrowing it
Nothing to install: this file belongs to 1cFE/fusion-tea. 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/1cFE/fusion-tea/main/.agents/skills/source-traceability/SKILL.mdgit clone --depth 1 https://github.com/1cFE/fusion-teaWrote 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/1cfe/fusion-tea/source-traceability)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/source-traceability"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/source-traceability/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/1cfe/fusion-tea/source-traceability"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/source-traceability.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 | $0.00101 | $0.02027 |
| Opus 5.5 | $0.00040 | $0.00811 |
| Sonnet 5.5 | $0.00020 | $0.00405 |
| Haiku 4.5 | $0.00010 | $0.00203 |
Grade A, and why
source-traceability 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 23d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.
Source Traceability
The durable traceability chain, citation patterns, SOURCE_INDEX format, and traceability matrix schema.
Core Principle
Every model element traces to an authority source. Traceability is recorded during implementation as a byproduct of work, not as a separate phase. The chain uses only durable artifacts — per-work-item specs are where traceability is discovered, but durable project files are where it lives.
When to Reference
/implement-model— recording source citations in doc comments and traceability matrix/design-model— parameter extraction with source attribution/spec-model— defining traceability requirements for success criteria/audit-models— verifying traceability completeness and baseline comparison/research— domain source investigation and citation patterns/manage-sources— adding, removing and curating sources by hand, throughagentic-mbse research/research-acquire— citing the sources a research request registered
The Durable Traceability Chain
DI-XXX (domain insight, in KNOWLEDGE.md)
|
| Source column in REQUIREMENTS.md
v
PR-XXX (promoted requirement, in REQUIREMENTS.md)
|
| Requirement column in traceability_matrix.csv
v
Model element (part def, calc def, constraint)
|
| Source/Reference fields in doc comment
v
Authority source (file:line in codebase, section in spec doc)
Each node is a durable artifact. Per-work-item spec.md files may reference these IDs but are not part of the durable chain — they are ephemeral and archived when work completes.
SOURCE_INDEX.md Format
Location: knowledge/SOURCE_INDEX.md
Each source entry follows this format:
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.
- 23d ago Changed · +13 lines 46d1a7b9fca3
- 24d ago Changed · +2 lines dd128ffdd63d
- 1mo ago First seen · 155 lines · 101 tokens per session scan A 7b2ff45a844d
source-traceability is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 101 tokens to every session and 2,027 once invoked, about $0.0004 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 2026-09-29.
source-traceability compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| source-traceability1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 101 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |