codebase-recon

Original：🇺🇸 English

Translated

Use when entering an unfamiliar codebase, onboarding to a new project, or wanting to assess codebase health before reading code — analyzes git history to reveal hotspots, risk areas, team structure, and development momentum

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Sourceyujiachen-y/codebase-recon-skill

Added on2026-05-01

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npx skill4agent add yujiachen-y/codebase-recon-skill codebase-recon

SKILL.md Content

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Codebase Recon

Analyze git history to understand a codebase before reading any code. Reveals project health, risk areas, team structure, and development momentum.

Inspired by "The Git Commands I Run Before Reading Any Code" by Ally Piechowski.

Phase 1: Probe

Before running analysis, determine repo scale to calibrate time windows and result counts.

Run this single shell command to collect repo vitals:

sh

echo "COMMITS=$(git rev-list --count HEAD)" && \
echo "FIRST_COMMIT=$(git log --reverse --format='%ad' --date=short | head -1)" && \
echo "LATEST_COMMIT=$(git log --format='%ad' --date=short | head -1)" && \
echo "BRANCHES=$(git branch -a | wc -l | tr -d ' ')"

Use the commit count to set parameters for Phase 2:

Repo Size	Commits	`WINDOW` (--since)	`N` (--head)
Small	<500	(omit --since)	10
Medium	500-10k	`1 year ago`	20
Large	>10k	`6 months ago`	30

Print the Repo Vitals line immediately:

Repo Vitals: Age: [FIRST_COMMIT to LATEST_COMMIT] | Commits: [COMMITS] | Branches: [BRANCHES] | Analysis window: [WINDOW or "all time"]

Phase 2: Parallel Analysis

Run all 7 commands in parallel (they are independent). Substitute

WINDOW

and

from Phase 1. For small repos, omit

--since

flags entirely.

2a. Code Hotspots

Most-changed files in the analysis window:

sh

git log --format=format: --name-only --since="WINDOW" | sort | uniq -c | sort -nr | head -N

2b. Bus Factor

All-time contributor ranking by commit count:

sh

git shortlog -sn --no-merges

2c. Bug Magnets

Files most associated with bug-fix commits:

sh

git log -i -E --grep="fix|bug|broken" --name-only --format='' --since="WINDOW" | sort | uniq -c | sort -nr | head -N

2d. Team Momentum

Commit frequency by month (all time):

sh

git log --format='%ad' --date=format:'%Y-%m' | sort | uniq -c

2e. Firefighting Frequency

Emergency/revert commits in the analysis window:

sh

git log --oneline --since="WINDOW" | grep -iE 'revert|hotfix|emergency|rollback'

2f. Recently Added Files

New files added in the analysis window:

sh

git log --diff-filter=A --since="WINDOW" --name-only --format='' | sort | uniq -c | sort -nr | head -N

2g. Active vs Total Contributors

Count of contributors active in the last 3 months (fixed window — measures "who's here now"):

sh

git shortlog -sn --no-merges --since="3 months ago" | wc -l

Compare this count against the total from 2b.

Cross-Referencing

After collecting all Phase 2 results, perform these cross-references before presenting the report:

High-Risk Files: Intersect code hotspots (2a) with bug magnets (2c). Files appearing in both lists are highest-risk.
Risk Ownership: For each high-risk file, run
```
git shortlog -sn -- <file>
```
to identify the primary owner.
Bus Factor Risk: If active contributors (2g) are less than 30% of total contributors (2b), flag this as a bus factor concern.
Momentum Trend: Analyze the monthly commit counts (2d):
- Compare the average of the last 3 months to the average of the 3 months before that.
- Rising: last 3 months average > prior 3 months average by 20%+
- Declining: last 3 months average < prior 3 months average by 20%+
- Erratic: month-over-month variance exceeds 50%
- Stable: otherwise

Report Template

Present the report in the terminal using this structure:

═══ Codebase Recon Report ═══

Repo Vitals
  Age: [first commit] to [latest commit] | Commits: N | Branches: N | Analysis window: WINDOW

1. Code Hotspots (most-changed files)
   [ranked list: count  filepath]

2. Bug Magnets (files with fix/bug/broken commits)
   [ranked list: count  filepath]

3. High-Risk Files (appear in BOTH hotspots AND bug magnets)
   [list with: filepath — hotspot rank #X, bug magnet rank #Y, primary owner: NAME]
   If none overlap, state: "No files appear in both lists — good sign."

4. Bus Factor
   [top 10 contributors: count  name]
   Active (last 3 months): X of Y total contributors
   [If active < 30% of total: "Warning: low active contributor ratio — knowledge concentration risk"]

5. Team Momentum
   [monthly commit counts, most recent 12 months or all if fewer]
   Trend: [rising / stable / declining / erratic]

6. Firefighting Frequency
   [list of revert/hotfix/emergency commits, or "None found"]
   Rate: N emergency commits out of M total in window (X%)

7. Recently Added Files
   [ranked list: count  filepath]

8. Recommendations
   - Start reading: [top 3 high-risk files, or top 3 hotspots if no high-risk files]
   - Talk to: [primary owner of the #1 high-risk or hotspot file]
   - Watch out: [any trend warnings — declining momentum, low bus factor, high firefighting rate]

After printing the report, ask:

"Want me to save this report to a markdown file? (e.g.,
docs/codebase-recon-report.md
)"

If yes, write the same content as a markdown file. Do not commit — let the user decide.