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 fzfclee/consulting-skills --skill weighted-scorecardgit clone --depth 1 https://github.com/fzfclee/consulting-skillsWrote 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/fzfclee/consulting-skills/weighted-scorecard)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/weighted-scorecard"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/weighted-scorecard/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/fzfclee/consulting-skills/weighted-scorecard"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/weighted-scorecard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00058 | $0.00730 |
| Opus 5 | $0.00029 | $0.00365 |
| Sonnet 5 | $0.00012 | $0.00146 |
| Haiku 4.5 | $0.00006 | $0.00073 |
Grade A, and why
weighted-scorecard 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 11d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weighted Scorecard
Use this skill to run Weighted Scorecard as a practical consulting method, not as a generic framework explanation.
Method Notes
- Use eligibility gates before weighted scoring.
- Add scoring anchors so reviewers score consistently.
Required Inputs
Collect or infer these inputs before execution:
- evaluation object
- criteria
- weights
- evidence and scoring scale
If an input is missing, do not block automatically. Mark it as missing, state the assumption used, and add a validation action.
When Not To Use
Do not use before options, criteria, scoring scales, and evidence are comparable. Do not let a strong total score average away a mandatory requirement or a decision-critical unknown.
Adjacent Methods
decision-matrix: one-time choice with explicit tradeoffs.rice-scoring: Reach/Impact/Confidence/Effort backlog.wsjf-prioritization: delay-cost sequencing.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Set eligibility gates | Minimum requirements, risk constraints, must-have criteria. | Define pass/fail gates before weighted scoring. | Eligibility gate list. |
| Define dimensions | Evaluation goal, stakeholders, decision criteria. | Choose weighted dimensions and scoring anchors. | Scorecard rubric. |
| Collect evidence | Vendor/option data, interviews, proposals, references. | Attach evidence to each option and criterion. | Evidence pack. |
| Score and normalize | Rubric and evidence pack. | Score every option consistently and calculate weighted totals. | Weighted scorecard. |
| Decide with caveats | Scores, gates, risks, sensitivity. | Recommend winner, reserve option, or further diligence. | Decision and caveats. |
Output Template
### 1. Purpose And Eligibility
Evaluation purpose:
Entities:
Must-pass gates:
Evidence cut-off:
### 2. Dimensions And Anchors
| Dimension | Weight | Scoring anchor | Evidence standard |
|---|---|---|---|
| | | | |
### 3. Scores
| Entity | Dimension scores | Normalized total | Evidence gaps |
|---|---|---|---|
| | | | |
### 4. Sensitivity And Governance
Recommendation:
Sensitivity:
Override rule:
Review / approval owner:
### Evidence And Next Decision
- Confirmed facts:
- Assumptions:
- Missing evidence:
- Next action, owner, and timing:
- Expected signal and decision threshold:
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.
- 11d ago First seen · 88 lines · 58 tokens per session scan A 75c1c2c239b5
weighted-scorecard is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 22d ago), licensed Apache-2.0. It adds 58 tokens to every session and 730 once invoked, about $0.0003 per session on Opus 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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