Quantify commits

Quantified Commit Activity Over 14 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
Kevin K		1	1/1/0	2	4	526
Justin Gardner		1	1/1/0	1	2	189
CyRamos		1	1/1/0	1	1	68
Paul Robello		1	2/1/0	1	1	25
Fureigh		1	2/2/0	2	2	16
None (dependabot[bot])		1	1/0/2	1	1	14
Daniel Miessler		1	0/0/0	1	1	13
Hullow		1	1/1/0	1	1	6
Adam Groenhout		1	1/1/0	2	2	4
joskezelensky		1	1/1/0	1	1	4
MentalGear		1	1/1/0	1	1	2
Roberto Abdelkader Martínez Pérez		1	1/1/0	1	1	2
weekscharlie		1	2/1/1	1	1	2
Fumikazu Kiyota (JFK)		0	0/0/3	0	0	0
José Luis Di Biase (josx)		0	0/0/1	0	0	0
None (patonw)		0	1/0/0	0	0	0
None (RossLux)		0	0/0/1	0	0	0
Daniel Saxton (dsaxton)		0	2/0/2	0	0	0
None (elloxar)		0	0/1/0	0	0	0
Steven Byrnes (erewhon)		0	1/0/0	0	0	0
None (s-smits)		0	1/0/0	0	0	0
Igor Dvorkin (idvorkin)		0	1/0/0	0	0	0
Manan Choksi (mchoccie)		0	1/0/0	0	0	0
None (fitchmultz)		0	0/0/1	0	0	0
Noam Siegel (noamsiegel)		0	0/0/1	0	0	0
None (criadoperez)		0	1/0/0	0	0	0
André Leifert (AndreLeifert)		0	1/0/1	0	0	0
Bobby-Tablez (bobby-tablez)		0	0/1/0	0	0	0
None (Gerkinfeltser)		0	0/1/0	0	0	0
None (PrivacyOsint2)		0	0/0/1	0	0	0
Praharsh Bhatt (praharshbhatt)		0	1/0/0	0	0	0
None (black-backdoor)		0	1/0/0	0	0	0
Camilla Napoles (camillanapoles)		0	1/0/1	0	0	0
John Connor (johnconnor-sec)		0	1/0/0	0	0	0
Dominik Fretz (codewithpassion)		0	1/0/0	0	0	0
Youssouf da Silva (youssoufdasilva)		0	0/1/0	0	0	0

_{PRs: created by that dev and opened/merged/closed-unmerged during the period}

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Development Team and Recent Activity

Team Members and Recent Commits

1. Daniel Miessler:

   • Merged multiple pull requests, including enhancements to patterns like summarize_prompt, write_hackerone_report, and create_sigma_rules.
   • Updated README.md and fixed minor issues in various patterns.

2. Kevin K (kevnk):

   • Contributed to the creation of the summarize_prompt pattern and a script for generating user.md using this pattern.

3. Justin Gardner (Rhynorater):

   • Added the write_hackerone_report pattern, which included a README and system.md file.

4. Fureigh:

   • Fixed typos in analyze_spiritual_text and create_logo.

5. CyRamos:

   • Added a personal pattern for summarizing course lectures.

6. Paul Robello (paulrobello):

   • Created the create_tags pattern.

7. Joskezelensky:

   • Updated the README.md for the extract_article_wisdom pattern.

8. Weekscharlie:

   • Fixed missing text in the HABITS step of the extract_wisdom pattern.

9. Hullow:

   • Corrected language errors in the create_5_sentence_summary pattern.

10. BtrYrSlf (Adam Groenhout):

    • Updated README.md and fabric.py to remove outdated notes about default model behavior.

11. MentalGear:

    • Fixed grammar issues in the analyze_paper pattern.

12. Nilp0inter (Roberto Abdelkader Martínez Pérez):

    • Corrected a typo in the create_5_sentence_summary pattern.

Patterns and Themes in Recent Activity

• Bug Fixes and Typo Corrections: A significant amount of recent activity focused on fixing typos and minor errors across various patterns, enhancing clarity and correctness.

• Enhancements to Existing Patterns: Several commits involved adding new features or improving instructions within existing patterns, such as clean_text, summarize_paper, and create_sigma_rules.

• New Pattern Contributions: New patterns were introduced, such as summarize_prompt, write_hackerone_report, and create_tags, expanding the repository's utility for specific tasks.

• Documentation Updates: Updates to README files were common, aiming to improve installation instructions or clarify usage details.

Conclusion

The development team has been actively involved in refining the project through both incremental improvements to existing content and the introduction of new patterns that broaden the framework's applicability. The focus on correcting small errors and updating documentation reflects a commitment to quality and user experience.

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Recent Activity Analysis

The recent activity on the GitHub issues for the danielmiessler/fabric project shows a mix of bug reports, feature requests, and questions. Notable issues include concerns about model migrations, typos in documentation, and enhancements for pattern functionality. Critical issues such as empty output files for local models and CLI exceptions due to configuration errors indicate areas needing immediate attention.

Notable Issues:

• #703 and #688 raise questions about significant changes like moving to Go and seeking technical reviewers, suggesting a phase of major development or transition.
• #696 and #684 reveal minor but impactful bugs related to typos and configuration errors that could affect user experience and functionality.
• #691, #685, and #676 are feature requests that aim to enhance the usability and flexibility of the software by allowing more customized settings and functionalities.

These issues collectively suggest a community actively using and testing the project, encountering both typical bugs and requesting enhancements that could significantly improve the project's utility and user experience.

Issue Details

Most Recently Created Issue:

• #703: [Question]: Move to Go
  • Priority: Medium
  • Status: Open
  • Created: 1 day ago

Most Recently Updated Issue:

• #680: [Feature request]: in GUI textbox for -S SESSIONID parameter
  • Priority: Low
  • Status: Open
  • Created: 7 days ago
  • Updated: 3 days ago

These issues highlight ongoing discussions about significant changes to the project (such as moving to a different programming language) and enhancements to improve user interaction with the GUI. The active engagement in these areas suggests a vibrant community interested in evolving the project's capabilities.

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Analysis of Open and Recently Closed Pull Requests

Open Pull Requests

1. PR #704: Add a mermaid diagram that can render in github markdown readmes

   • Status: Open
   • Issue: Adds a mermaid diagram creator to render diagrams in GitHub markdown. This could enhance documentation readability and presentation.
   • Concerns: The image link in the PR description is broken, which might need fixing for better clarity.

2. PR #702: feat: add a pattern to draft or respond to an email

   • Status: Open
   • Issue: Introduces a pattern for drafting or responding to emails formally.
   • Concerns: None. This seems like a straightforward addition that enhances the utility of the repository.

3. PR #701: Bump the pip group across 1 directory with 2 updates

   • Status: Open
   • Issue: Updates dependencies (certifi and urllib3) which are crucial for maintaining security and compatibility.
   • Concerns: Dependency updates are critical; however, this PR should be reviewed to ensure it doesn't introduce any compatibility issues.

4. PR #698: Corrections on patterns

   • Status: Open
   • Issue: Corrects texts on various patterns.
   • Concerns: While corrections are generally low-risk, ensuring that the changes don't alter intended meanings or functionalities is essential.

5. PR #694: Allow Sonnet 3.5 in main.js

   • Status: Open
   • Issue: Updates the system to include Claude 3.5 Sonnet, potentially offering enhanced model performance.
   • Concerns: The change seems minor but should be tested to ensure it integrates well without issues.

6. PR #693: feat: Add transcript-ts feature to yt

   • Status: Open
   • Issue: Adds functionality to get transcripts with timestamps from YouTube videos, enhancing the utility for users needing detailed video analysis.
   • Concerns: Ensure the feature works as expected across various video types and that it handles edge cases gracefully.

7. PR #692: Addition of extract_instructions

   • Status: Open
   • Issue: Adds a new pattern for extracting step-by-step instructions from video transcripts, useful for educational content.
   • Concerns: The effectiveness of this pattern in real-world scenarios should be validated.

8. PR #689: Add "timestamps" flag to "yt" to add timestamps to transcript

   • Status: Open
   • Issue: Similar to PR #693 but seems slightly redundant given the existing PR.
   • Concerns: Potential duplication of functionality; might need consolidation with PR #693.

9. PR #687: Added current model indicator with an * when --listmodels is called

   • Status: Open
   • Issue: Enhances user experience by clearly indicating the currently used model in the list.
   • Concerns: None significant; this is a quality-of-life improvement for users.

10. PR #686: Adding structured logging and stack traces

    • Status: Open
    • Issue: Implements structured logging for better debugging and maintenance.
    • Concerns: Ensure logging does not impact performance or leak sensitive information.

Recently Closed Pull Requests

1. PR #679: Adding write_hackerone_report

   • Closed and merged successfully, adding a new pattern for generating HackerOne reports.

2. PR #678: Add 2 patterns: summarize_prompt which was used for suggest_pattern

   • Closed and merged successfully, introducing new patterns that could enhance user interaction with prompts.

3. Several PRs were closed without merging due to an upcoming migration to Golang (e.g., PR #675, PR #654, PR #653). These changes might need resubmission after migration if still relevant.

Summary

The open pull requests mostly focus on adding new features or updating dependencies, which are crucial for keeping the project secure and functional. Closed pull requests indicate a healthy activity level in the repository, with most changes being integrated successfully. However, attention should be given to ensuring that similar functionalities are not duplicated across different PRs, as seen with the timestamp features in YouTube-related PRs (#693 and #689).

Report On: Fetch Files For Assessment

Analysis of Source Code Files

File: patterns/suggest_pattern/system.md

Structure and Quality Assessment:

• Purpose Clarity: The file clearly defines the identity and purpose of the AI assistant, which is to suggest appropriate fabric patterns or commands based on user input.
• Step-by-Step Instructions: Outlines a logical sequence of steps for the AI to follow, ensuring a structured approach to handling user requests.
• Output Specifications: Detailed instructions on how the output should be formatted and what it should include, promoting consistency in responses.
• Readability: The use of Markdown enhances readability and organization.
• Potential Improvements: Could benefit from examples of input and output to better guide implementation.

File: patterns/summarize_prompt/system.md

Structure and Quality Assessment:

• Purpose Clarity: Clearly states the role of summarizing AI chat prompts, with concise instructions.
• Output Structure: Specifies how the summary should be structured, ensuring uniformity in output.
• Conciseness: Emphasizes brevity and clarity with a limit on word count and specific formatting instructions.
• Lack of Examples: Does not provide examples, which could help clarify expectations for users or developers.
• Strict Output Guidelines: While it ensures consistency, the rigid guidelines might limit flexibility in responses.

File: patterns/write_hackerone_report/system.md

Structure and Quality Assessment:

• Detailed Role Definition: Extensively defines the role and goals of the bug bounty report writer.
• Comprehensive Steps: Provides an exhaustive list of steps to analyze inputs and generate a detailed report, ensuring thoroughness in vulnerability reporting.
• Output Template Provided: Includes a clear template for how the report should be structured, aiding in standardization.
• Excessive Detail in Steps: The exaggerated numbers (e.g., reading summary 5000 times) could be confusing or misinterpreted as serious instructions.
• Example Inclusion: Positively, it includes example inputs and outputs which aid understanding of expected results.

File: patterns/create_sigma_rules/system.md

Structure and Quality Assessment:

• Clear Identity and Purpose: Well-defined role as a cybersecurity detection engineer with specific tasks outlined.
• Structured Output: Detailed guidance on formatting Sigma rules using YAML, beneficial for consistency across outputs.
• Practical Examples: Includes examples of Sigma rules which are crucial for understanding application in real scenarios. . Task Relevance: Directly relevant to security operations, enhancing its utility in practical scenarios.

File: patterns/clean_text/system.md

Structure and Quality Assessment:

• Specific Role Definition: Clearly defines the task of cleaning up text formatting without altering content.
• Simple Steps Outline: Lists straightforward steps to achieve text cleanup, making it easy to implement.
• Lack of Complexity: Relatively simple task; does not involve complex logic or algorithms.
• Utility: High utility in preprocessing text for further operations or presentations.

General Observations Across Files:

1. Consistency in Documentation Style: All files maintain a consistent structure in documentation, which is good for maintaining standards across the project.
2. Use of Markdown: Effective use of Markdown across all files enhances readability and accessibility.
3. Detailing in Instructions: Most files provide detailed instructions on both processing steps and output expectations, which is crucial for accurate implementation.

Recommendations:

1. Include More Examples: Where missing, examples should be added to provide clearer guidance on expected inputs and outputs.
2. Review Exaggerated Instructions: Ensure that instructions are practical and clearly marked if meant to be hyperbolic (e.g., reading something 5000 times).
3. Enhance Flexibility Where Possible: Some files could allow more flexibility in output formatting to adapt to different use cases or user preferences.