git-developer-performance

git-developer-performance is a skill for Claude Code, Codex from duc01226/EasyPlatform. It costs 29 tokens per session (3,305 once invoked), scanned A, original, MIT.

A guide for improving software performance while following project-specific coding instructions.

In plain words
What is it for?
Use it to investigate or implement performance improvements in code, including related planning, debugging, testing, and review.
Why use it?
It helps structure performance work so that changes respect repository rules and are tracked as part of the task.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present. Also seen: reads .claude/ paths; mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to investigate or implement performance improvements in code, including related planning, debugging, testing, and review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/duc01226/easyplatform/git-developer-performance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add duc01226/EasyPlatform --skill git-developer-performance
Clone the repo
git clone --depth 1 https://github.com/duc01226/EasyPlatform

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for git-developer-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/duc01226/easyplatform/git-developer-performance/github.svg)](https://agentmods.dev/skills/duc01226/easyplatform/git-developer-performance)
Your own site
<a href="https://agentmods.dev/skills/duc01226/easyplatform/git-developer-performance"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/git-developer-performance/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.

agentmods 80×15 button for git-developer-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/duc01226/easyplatform/git-developer-performance"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/git-developer-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,305 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 10 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 18
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 154
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 170
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 334
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 349
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 369
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 401
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
  • medium Prompt Injection · line 389
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Excessive Agency · line 415
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.03305
Opus 5.5 $0.00012 $0.01322
Sonnet 5.5 $0.00006 $0.00661
Haiku 4.5 $0.00003 $0.00331

Measured 3d ago against content hash 878a12b0259e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

git-developer-performance 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 3d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/git-developer-performance.cjs, tests/git-developer-performance.test.cjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/git-developer-performance/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex compatibility note:

  • Invoke $skill-name: load the registered .agents/skills/<name>/SKILL.md and execute it with Codex tools; no separate Skill tool or Claude mode switch is needed. Author .claude/**; mirrors are generated.
  • Track steps before execution and keep progress/evidence current. Explicit skill requests execute their protocol. Use the native question tool for required questions.
  • Map foreign tool names to available host capabilities. A name mismatch needs no approval; an actually unavailable required capability stops with its step/evidence and a user question before adaptation.
  • Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required spawn_agent subagent(s) for that task.
  • Preserve protocol order unless the user approves a deviation. Workflows use $start-workflow: gates stay fixed; other steps may flex with logged reasons and evidence.

Quick Summary

Goal: Plan and generate a developer KPI-style quality-work report from local git history ONLY, so every effort-point, man-day, and value claim in it rests on inspected diffs rather than commit counts.

Summary: (read-this-if-nothing-else digest — purpose + ALL main steps)

  • PURPOSE — turn raw git history into an evidence-backed contribution report. The script collects evidence; AI reads the changes and synthesizes the value — a commit-list export is NOT this skill's output.
  • STEP 1 — SET GOAL + PLAN. Declare the goal, trigger $plan, create one todo task per contributor. Large task: NEVER analyze before planning.
  • STEP 2 — COLLECT PACKETS. Run the script (defaults: --branch develop→main, --days 60, --out reports/developer-performance). Traverse FULL merged history, not first-parent only.
  • STEP 3 — ANALYZE PER CONTRIBUTOR. Read direct authored patches + merge/admin commits from work-packets/*.md. Attribute shared feature-branch implementation to each developer's OWN direct commits — never to the merge author.
  • STEP 4 — ESTIMATE via the carried SYNC:estimation-framework (the AUTHORITY, and it OUTRANKS the script's legacy size-based rubric): bottom-up hours → likely_days → EP DERIVED, never assigned from cluster size. Discount generated/docs/lockfile churn FIRST.
  • STEP 5 — SANITY-CHECK, then SYNTHESIZE. Velocity plausible vs active days; separate product / infra / docs / merge-admin signal; write quality-work-summary.md + evidence-proof.md outside .claude.
  • GATE — run the skill's tests, run the command for the requested range, confirm the output path is outside .claude, before delivering anything.

Workflow:

  1. Set Goal + Plan — declare the goal, trigger $plan, create tasks per contributor.
  2. Collect Packets — run scripts/git-developer-performance.cjs to build the commit inventory and work packets.
  3. Analyze Work — read patches per contributor; estimate value, effort points, man-days, quality impact.
  4. Synthesize Report — write quality-work-summary.md and evidence-proof.md outside .claude.

Key Rules:

  • Local git history ONLY — NEVER query external services — why: the report must be reproducible from the repo alone.
  • Consolidate people by identity map → normalized email → high-confidence alias (DOMAIN\first.lastpart matching a full name); --identity-map handles exceptions — why: raw display names split one person into several.
  • Large task — plan FIRST, then one todo task per contributor.
  • Script collects evidence; AI reads changes and synthesizes contributed value — why: this is not a commit-list export.
  • KPI values are evidence-based estimates, NEVER a complete HR assessment.
  • Report BOTH man_days_traditional (no AI) and man_days_ai (AI assistant with project context) — NEVER one ambiguous MD number.
  • Traverse full merged branch history, not first-parent only; shared feature-branch implementation credits each developer's own direct commits. Merge authors get integration/admin signal unless conflict-resolution changes were explicitly inspected.
  • Estimate implementation EP from direct authored diffs; zero-change merge/admin commits are integration signal only.
  • Discount generated files, migration designers, docs/spec output, i18n sorting, lockfiles, and repeated follow-up churn before estimating.
  • The carried SYNC:estimation-framework is the AUTHORITY for every EP and man-day figure — EP is DERIVED from likely_days, never from cluster size — and it OUTRANKS the size-based rubric the script embeds in its generated prompt.
  • Velocity mismatch or recheck request → synthesize each contributor's direct authored work as one "giant commit" first, then split into atomic 1/2/3/5/8/13 EP clusters.
  • Persist large rechecks to a report file outside .claude BEFORE finalizing — why: context loss otherwise erases the evidence.
  • Separate product/domain delivery, platform/tooling work, docs/generated churn, merge/admin integration — NEVER mix them silently into one velocity number.
  • Velocity sanity check: both man-day ranges plausible for active days and the selected period.
  • Keep output outside .claude; default root reports/developer-performance/.

Read the full file on GitHub · 165 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 3d ago Changed · -336 lines · -6 tokens per session 878a12b0259e
  2. 1mo ago First seen · 501 lines · 35 tokens per session scan A 18d8f4f78108

Subscribe to this mod's changes

git-developer-performance is a skill published in the GitHub repository duc01226/EasyPlatform (12 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 3,305 once invoked, about $0.0001 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 2026-08-31.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

deck-retro

Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs. Use when a user wants to find recurring failures or take their own finding from investigation through synthetic reproduction, a user-filed issue, a test-first fix and contributor PR handoff. Also use for weekly usage…

asheshgoplani/agent-deck · 86 tokens

incident-response-incident-response

Coordinate production incident triage, mitigation, investigation, recovery, and follow-up. Use when responding to outages or other incidents that require structured operational coordination.

rmyndharis/antigravity-skills · 36 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens