Pragma review
A set of zsh, git, bash, Claude and tmux configuration files
npx -y skills add ccronca/dotfiles --skill pragma-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Fetch and analyse Pragma's AI review for a GitLab MR. Summarises high-value findings and critiques the review quality. Usage: /pragma-review [mr_number]
SKILL.md
3.7 KB, as published. Nobody here has run it
Pragma Review
Fetch and analyse Pragma's AI-generated review for a GitLab MR.
Input: $ARGUMENTS — optional MR number (integer). If omitted, detected from context.
Instructions
-
Determine the MR number:
- If
$ARGUMENTScontains an integer, use it directly as the MR number. - Otherwise, run
glab mr viewand parse theIID:field from the output. - If both fail, ask the user: "Which MR number would you like to review?"
- If
-
Ensure the working tree reflects the MR source branch:
- Run
glab mr view <MR_NUMBER>and parse theSource Branch:field →<mr_branch>. - Run
git rev-parse --abbrev-ref HEAD→<current_branch>. - If
<current_branch>equals<mr_branch>, continue to step 3. - Otherwise:
- Record
<current_branch>so it can be restored later. - Inform the user: "Switching to
<mr_branch>to analyse MR code accurately." - Run
glab mr checkout <MR_NUMBER>to switch to the MR branch. - Set a flag
BRANCH_SWITCHED=true.
- Record
- Run
-
Determine the repository name:
- Run
glab mr view <MR_NUMBER>(reuse output from step 2) and parse theProject:orWeb URLfield to extract the repository name (e.g.pdm-db). - Use just the short repository name (last path segment), not the full group path.
- Run
-
Find the most recent Pragma review for this MR:
- Call
mcp__pragma__list_reviewswithrepositoryset to the repo name from step 3. - Filter returned entries where the filename contains
_mr<MR_NUMBER>_. - If multiple matches exist, select the one with the latest timestamp (the timestamp
appears in the filename as
YYYYMMDD_HHMMSS). - If no matching review is found, output:
"No Pragma review found for MR !<number> in repository <repo>." restore the original branch (step 8) and stop.
- Call
-
Fetch the full review content:
- Call
mcp__pragma__get_reviewwith the filename selected in step 4.
- Call
-
Output Section B — High-value findings:
Present a prioritised list of findings from the Pragma review that meet ALL of:
- Blocking, critical, or high-severity (explicitly stated in Pragma's output, or clearly impactful based on context)
- Non-obvious (not something a linter, type-checker, or compiler would catch)
- Actionable (has a specific file/line reference or a concrete recommendation)
Format:
## High-Value Findings (Pragma MR !<number>) 1. [CRITICAL/HIGH] <finding summary> — `<file>:<line>` Rationale: <one sentence on why this is worth acting on> 2. ...If no findings meet the criteria, state: "No high-value findings identified."
-
Output Section C — Meta-critique:
Assess the quality of the Pragma review itself across four dimensions:
## Pragma Review Quality Assessment **Coverage:** <Did it address the key areas of the diff? What did it focus on?> **Accuracy:** <Are the findings grounded in the actual code? Any hallucinations?> **False positives:** <List any findings that appear incorrect or unsubstantiated> **Gaps:** <Important aspects of the diff that Pragma missed entirely> -
Restore original branch (if switched):
- If
BRANCH_SWITCHED=true, rungit checkout <current_branch>. - Inform the user: "Restored branch to
<current_branch>."
- If
Notes
- Be concise. Section B should rarely exceed 5 items.
- Section C should be factual, not speculative — only flag gaps you can identify from the diff or codebase context.
- Do not repeat the full Pragma review verbatim.