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 rube-de/cc-skills --skill nextgit clone --depth 1 https://github.com/rube-de/cc-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/rube-de/cc-skills/next)<a href="https://agentmods.dev/skills/rube-de/cc-skills/next"><img src="https://agentmods.dev/badge/skills/rube-de/cc-skills/next.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.01740 |
| Opus 5 | $0.00042 | $0.00870 |
| Sonnet 5 | $0.00017 | $0.00348 |
| Haiku 4.5 | $0.00008 | $0.00174 |
Grade A, and why
next scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Next: Issue Triage & Recommendation
Analyze open GitHub issues, build a dependency graph, and recommend the highest-impact issue to work on next.
Workflow
1. Fetch & Pre-process → 2. Build Dependency Graph → 3. Detect Cycles
→ 4. Rank Issues → 5. Present Recommendations → 6. Select & Assign
Step 1: Fetch and Pre-process Issues
Run the open-issues.sh script from the plugin's scripts/ directory:
# Auto-detect repository from current directory
sh "${CLAUDE_SKILL_DIR}/../../scripts/open-issues.sh"
# Or specify repository explicitly
sh "${CLAUDE_SKILL_DIR}/../../scripts/open-issues.sh" OWNER/REPO
# Include assigned issues in results
sh "${CLAUDE_SKILL_DIR}/../../scripts/open-issues.sh" --include-assigned
Validate the response:
- Check stderr for a JSON
errorobject — if present, abort with the error message (auth failures, missing tools, repo detection failures are handled by the script) - Extract and store the full JSON output as
$ISSUES_DATA
Edge case — no issues: If .total_open == 0, report "No open issues found" (if --include-assigned was used) or "No unassigned issues found (try --include-assigned to include assigned items)" (default mode) and stop.
Edge case — 100+ issues: If .total_open >= 100, warn: "Results capped at 100 issues. Consider filtering by label or milestone for a broader view."
The JSON output contains pre-computed fields for each issue:
blocked_by,blocks— parsed from issue body patterns (Blocked by:,Blocks:,Depends on:)blockers_resolved—trueif all blockers are closed (not in the open issue set)unblocked—trueif no open blockers remainage_days— days since issue creationmilestone_due_on— milestone due date (ISO 8601) ornulldependency_graph.edges—[[blocker, blocked], ...]pairs for graph analysis
Step 2: Build Dependency Graph
The script pre-computes blocked_by and blocks arrays per issue, and provides dependency_graph.edges as [[blocker, blocked], ...] pairs.
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 · 155 lines · 83 tokens per session scan A 9dae9ef72f01
next is a skill published in the GitHub repository rube-de/cc-skills (10 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 1,740 once invoked, about $0.0004 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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