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backward-traceability

Make every number in the final PDF traceable to the exact code line that produced it. Uses \hypertarget/\hyperlink LaTeX commands and \num{formula} evaluated at compile time. Use for reproducibility and data integrity verification.

How do I install this agent skill?

npx skills add https://github.com/lingzhi227/agent-research-skills --skill backward-traceability
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubwarn

    The skill includes reference documentation describing an unsafe 'eval()' pattern for processing LaTeX formulas. While the included Python script is safe and uses only standard libraries, an agent following the provided reference logic could be vulnerable to arbitrary code execution when processing malicious LaTeX files.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerpass

    2/3 files flagged

What does this agent skill do?

Backward Traceability

Make every number in the final PDF hyperlink back to the exact code line that produced it.

Input

  • $0 — Paper project directory containing code and LaTeX files

References

  • Traceability patterns and LaTeX commands: ~/.claude/skills/backward-traceability/references/traceability-patterns.md

Scripts

Scan hypertarget/hyperlink references

python ~/.claude/skills/backward-traceability/scripts/ref_numeric_values.py \
  --scan paper/main.tex --output report.json

Reports: all hypertargets, hyperlinks, orphan references, unreferenced numeric values.

Verify cross-reference integrity

python ~/.claude/skills/backward-traceability/scripts/ref_numeric_values.py \
  --verify paper/main.tex --code-output results.txt

Cross-checks values between paper text and code output. Reports mismatches.

Workflow

Step 1: Tag Code Outputs

For every numeric value produced by experiment code, add hypertarget tags:

# In experiment code output:
print(f"\\hypertarget{{R1a}}{{45.3}}")  # Mean accuracy
print(f"\\hypertarget{{R1b}}{{2.1}}")   # Std deviation

Label format: {prefix}{line_number}{letter} where letter = a, b, c... for multiple values on same line.

Step 2: Reference in Paper Text

Use \hyperlink to create clickable references in the paper:

Our method achieves \hyperlink{R1a}{45.3}\% accuracy
($\pm$\hyperlink{R1b}{2.1}).

Step 3: Use \num for Computed Values

For values derived from other values, use \num{} for compile-time evaluation:

% \num{formula, "explanation"} → evaluated at compile time
The improvement is \num{45.3 - 38.7, "accuracy gain"}\%.

Step 4: Generate Appendix Code Listing

Create an appendix with the full code listing, with \hypertarget anchors at relevant lines:

\section*{Appendix: Code Listing}
\begin{lstlisting}[escapechar=@]
@\hypertarget{code1}{}@result = model.evaluate(test_data)
@\hypertarget{code2}{}@accuracy = result['accuracy']
\end{lstlisting}

Step 5: Verify Traceability

  • Every number in the paper text must have a corresponding \hypertarget in the code
  • Every \num{} formula must evaluate correctly
  • Click-test: every hyperlink in the PDF must jump to the correct code line

LaTeX Setup

Required packages:

\usepackage{hyperref}
\usepackage{listings}

Rules

  • Every numeric result in the paper MUST trace to code output
  • Never manually type numbers — always reference tagged outputs
  • Use \num{} for any derived/computed values
  • Code listing in appendix must match actual executed code
  • Verify all hyperlinks resolve correctly after compilation

Related Skills

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/lingzhi227/agent-research-skills/backward-traceability">View backward-traceability on skillZs</a>