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.
npx skills add duc01226/EasyPlatform --skill git-developer-performancegit clone --depth 1 https://github.com/duc01226/EasyPlatformWrote 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.
[](https://agentmods.dev/skills/duc01226/easyplatform/git-developer-performance)<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.
<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>- NVIDIA SkillSpector warn
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 contentFix: 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.
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.
| Model | Per session | Once 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 |
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.
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.
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.mdand execute it with Codex tools; no separateSkilltool 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_agentsubagent(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.mdoutside.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:
- Set Goal + Plan — declare the goal, trigger
$plan, create tasks per contributor. - Collect Packets — run
scripts/git-developer-performance.cjsto build the commit inventory and work packets. - Analyze Work — read patches per contributor; estimate value, effort points, man-days, quality impact.
- Synthesize Report — write
quality-work-summary.mdandevidence-proof.mdoutside.claude.
Key Rules:
- Local
githistory 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.lastpartmatching a full name);--identity-maphandles 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) andman_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-frameworkis the AUTHORITY for every EP and man-day figure — EP is DERIVED fromlikely_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
.claudeBEFORE 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 rootreports/developer-performance/.
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.
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.
- 3d ago Changed · -336 lines · -6 tokens per session 878a12b0259e
- 1mo ago First seen · 501 lines · 35 tokens per session scan A 18d8f4f78108
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.
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