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 hamzafarooq/claude-code-starter --skill feature-prioritizergit clone --depth 1 https://github.com/hamzafarooq/claude-code-starterWrote 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/hamzafarooq/claude-code-starter/feature-prioritizer)<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/feature-prioritizer"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/feature-prioritizer.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00397 |
| Opus 5 | $0.00025 | $0.00198 |
| Sonnet 5 | $0.00010 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
feature-prioritizer 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 8d 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.
What it actually says
Ask the user:
- "Paste your list of features or initiatives."
- "What's the timeframe — one quarter, one sprint, one year?"
- "Any features that are already committed or non-negotiable? I'll mark them separately."
For each feature, estimate:
- Reach — how many users affected per period (1–10 scale or absolute number)
- Impact — how much does it move the needle per user (0.25 = minimal, 0.5 = low, 1 = medium, 2 = high, 3 = massive)
- Confidence — how sure are you about Reach and Impact? (percentage: 50%, 80%, 100%)
- Effort — person-months to build (use your best estimate; flag if unclear)
RICE score = (Reach × Impact × Confidence) / Effort
Feature Prioritization — [Product / Quarter]
| Feature | Reach | Impact | Confidence | Effort | RICE Score | Priority |
|---|---|---|---|---|---|---|
| [feature] | [#] | [#] | [%] | [months] | [score] | HIGH/MED/LOW |
Recommended build order
Top 3 features with one-line rationale for each.
Features to cut or defer
Which items scored low and why you should drop or delay them.
What the scores can't tell you
Flag 1–2 strategic or political factors that aren't captured in RICE but matter for the decision.
State your assumptions clearly. Ask: "Want me to re-score with different estimates?"
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.
- 8d ago First seen · 39 lines · 50 tokens per session scan A ad8d2996d5d8
feature-prioritizer is a skill published in the GitHub repository hamzafarooq/claude-code-starter (141 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 397 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 2026-08-30.
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