Agent skill

Scoring Optimizer

Methodology for analyzing government funding program evaluation scoring tables and developing high-score strategies.

Apache-2.0Auto-check passed

Install Scoring Optimizer

skills CLI

$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 scoring-optimizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/45-gov-funding-plan/.claude/skills/scoring-optimizer .claude/skills/scoring-optimizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/en/45-gov-funding-plan/.claude/skills/scoring-optimizer into .claude/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/revfactory/harness-100/tree/main/en/45-gov-funding-plan/.claude/skills/scoring-optimizer

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 scoring-optimizer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/45-gov-funding-plan/.claude/skills/scoring-optimizer .agents/skills/scoring-optimizer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/en/45-gov-funding-plan/.claude/skills/scoring-optimizer into .agents/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 scoring-optimizer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/45-gov-funding-plan/.claude/skills/scoring-optimizer .cursor/skills/scoring-optimizer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/en/45-gov-funding-plan/.claude/skills/scoring-optimizer into .cursor/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/revfactory/harness-100.git --path en/45-gov-funding-plan/.claude/skills/scoring-optimizer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 scoring-optimizer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/45-gov-funding-plan/.claude/skills/scoring-optimizer .gemini/skills/scoring-optimizer && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/en/45-gov-funding-plan/.claude/skills/scoring-optimizer into .gemini/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install revfactory/harness-100 scoring-optimizer

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/45-gov-funding-plan/.claude/skills/scoring-optimizer .github/skills/scoring-optimizer && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/en/45-gov-funding-plan/.claude/skills/scoring-optimizer into .github/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 scoring-optimizer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/45-gov-funding-plan/.claude/skills/scoring-optimizer .opencode/skills/scoring-optimizer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/en/45-gov-funding-plan/.claude/skills/scoring-optimizer into .opencode/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: scoring-optimizer
GitHub stars: 1.3k
Token cost: ~787 tokens
SKILL.md length: 81 words
Files: 1
Skills in repo: 464
Repo updated: Mar 22, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Methodology for analyzing government funding program evaluation scoring tables and developing high-score strategies.

Works in 3 steps: Weight Distribution Analysis → Difficulty-Impact Matrix → Evidence Mapping
Scoring analysis
SKILL.md covers Target Agents, Scoring Analysis Framework, Common Evaluation Categories and Presentation Preparation (if…
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scoring Optimizer is an agent skill from revfactory/harness-100. Methodology for analyzing government funding program evaluation scoring tables and developing high-score strategies. Use this skill for 'scoring analysis', 'high-score strategy', 'evaluation criteria optimization', 'review preparation', 'document/presentation evaluation preparation', and other government project evaluation preparation tasks. Note: contacting reviewers and conducting actual presentations are outside the scope of this skill.

Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is Apache-2.0.

When your agent uses it

Scoring analysis
High-score strategy
Evaluation criteria optimization
Review preparation

Example prompts

“scoring analysis”
“high-score strategy”
“evaluation criteria optimization”
“/scoring-optimizer”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

Weight Distribution Analysis
Difficulty-Impact Matrix
Evidence Mapping

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scoring Optimizer loads about 787 tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 81 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~115
When it runs · the whole SKILL.md, loaded when a task matches: ~787

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 81 words, ~787 tokens.

Download SKILL.mdSave it as .claude/skills/scoring-optimizer/SKILL.md (or your agent's skills folder).

name: scoring-optimizer
description: Methodology for analyzing government funding program evaluation scoring tables and developing high-score strategies. Use this skill for 'scoring analysis', 'high-score strategy', 'evaluation criteria optimization', 'review preparation', 'document/presentation evaluation preparation', and other government project evaluation preparation tasks. Note: contacting reviewers and conducting actual presentations are outside the scope of this skill.

Scoring Optimizer — Government Funding Evaluation Scoring Strategy

A skill that enhances evaluation preparation for the submission-reviewer, tech-writer, and biz-writer.

Target Agents

submission-reviewer — Optimizes the proposal for maximum scoring
tech-writer — Aligns technical content with high-weight criteria
biz-writer — Aligns business content with high-weight criteria

Scoring Analysis Framework

Step 1: Weight Distribution Analysis

Map evaluation criteria by weight:
- High weight (>15%): Must address thoroughly, allocate proportional content
- Medium weight (10-15%): Address completely, include evidence
- Low weight (<10%): Address adequately, do not over-invest

Step 2: Difficulty-Impact Matrix

| Criteria | Weight | Difficulty | Strategy |
|----------|--------|-----------|----------|
| High weight + Easy | Priority 1 | Full score target |
| High weight + Hard | Priority 2 | Maximize with best evidence |
| Low weight + Easy | Priority 3 | Quick win, minimal effort |
| Low weight + Hard | Priority 4 | Adequate coverage only |

Step 3: Evidence Mapping

For each criterion:
1. What specific evidence demonstrates this?
2. Is it quantitative or qualitative?
3. Where in the proposal does it appear?
4. Can we strengthen the evidence?

Common Evaluation Categories

Technical Excellence (typically 30-40%)

High-score tactics:
- Clear, measurable technical objectives
- Comparison tables vs. existing technology
- Technology readiness level (TRL) progression
- Risk mitigation plans
- Team expertise matching technical needs

Business Feasibility (typically 20-30%)

High-score tactics:
- Market size with credible sources
- Specific commercialization timeline
- Revenue projections with assumptions
- IP strategy
- Partnership/customer letters of intent

Implementation Plan (typically 15-20%)

High-score tactics:
- Detailed milestone-based timeline
- Clear role assignments
- Resource allocation justification
- Quality assurance plan

Budget Appropriateness (typically 10-15%)

High-score tactics:
- Line items match technical plan exactly
- Government standard rates applied
- Clear justification for each cost item
- Reasonable proportion across categories

Presentation Preparation (if applicable)

Time management:
- Intro: 10% of time
- Problem/Market: 15%
- Technology: 30%
- Business: 20%
- Team/Plan: 15%
- Q&A prep: 10%

Key rules:
- One key message per slide
- Reviewers evaluate both content and presentation quality
- Anticipate and prepare for tough questions
- Have backup slides for detailed data

Files

Just SKILL.md in en/45-gov-funding-plan/.claude/skills/scoring-optimizer of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Scoring Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scoring Optimizer compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Scoring Optimizer this skillrevfactory/harness-100	1.3k	—	~787	Automated safety check: Pass	Apache-2.0	6 mo ago
Cost Optimizeruvnet/ruflo	74k	—	~997	Automated safety check: Notes	MIT	today
SQL Optimizationgithub/awesome-copilot	40k	2 repos	~2.3k	Automated safety check: Pass	MIT	today
Prompt Optimizeraffaan-m/ECC	274k	5 repos	~3.8k	Automated safety check: Pass	MIT	2 days ago
Agent Performance Optimizerruvnet/ruflo	74k	2 repos	~3.6k	Automated safety check: Pass	MIT	today
Database Optimizerdavila7/claude-code-templates	32k	7 repos	~2.5k	Automated safety check: Pass	MIT	today

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Questions about Scoring Optimizer

What does Scoring Optimizer do?

Methodology for analyzing government funding program evaluation scoring tables and developing high-score strategies. Scoring Optimizer is an agent skill from revfactory/harness-100. Methodology for analyzing government funding program evaluation scoring tables and developing high-score strategies.

When should I use Scoring Optimizer?

Scoring Optimizer fits situations like: scoring analysis; high-score strategy; evaluation criteria optimization; review preparation.

How do I install Scoring Optimizer in Claude Code?

Run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a claude-code`. Or copy the skill folder (en/45-gov-funding-plan/.claude/skills/scoring-optimizer in revfactory/harness-100) into .claude/skills/scoring-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Scoring Optimizer in Codex?

Run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a codex`. Or copy the skill folder (en/45-gov-funding-plan/.claude/skills/scoring-optimizer in revfactory/harness-100) into .agents/skills/scoring-optimizer in your project. Codex loads it when a task matches its description.

Can I use Scoring Optimizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scoring-optimizer, .gemini/skills/scoring-optimizer, .github/skills/scoring-optimizer and .opencode/skills/scoring-optimizer in your project.

What does Scoring Optimizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Scoring Optimizer is instructions for the agent only.

Does Scoring Optimizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scoring Optimizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scoring Optimizer use?

Scoring Optimizer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scoring Optimizer use?

About 787 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scoring Optimizer?

Skills that share tags, products or a category with Scoring Optimizer: Cost Optimize (ruvnet/ruflo, 74k stars), SQL Optimization (github/awesome-copilot, 40k stars), Prompt Optimizer (affaan-m/ECC, 274k stars) and Agent Performance Optimizer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scoring Optimizer?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Scoring Optimizer

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Scoring Optimizer — Government Funding Evaluation Scoring Strategy

Target Agents

Scoring Analysis Framework

Step 1: Weight Distribution Analysis

Step 2: Difficulty-Impact Matrix

Step 3: Evidence Mapping

Common Evaluation Categories

Technical Excellence (typically 30-40%)

Business Feasibility (typically 20-30%)

Implementation Plan (typically 15-20%)

Budget Appropriateness (typically 10-15%)

Presentation Preparation (if applicable)

Files

Compare with similar skills

Similar skills

More from revfactory/harness-100

Questions about Scoring Optimizer