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 codebygarv/Ai-skills --skill tech-debt-burndown-plannergit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/tech-debt-burndown-planner)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/tech-debt-burndown-planner"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/tech-debt-burndown-planner/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/codebygarv/ai-skills/tech-debt-burndown-planner"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/tech-debt-burndown-planner.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 | $0.00028 | $0.00374 |
| Opus 5 | $0.00014 | $0.00187 |
| Sonnet 5 | $0.00006 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
tech-debt-burndown-planner 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 10d 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
Purpose
Audit and convert sprawling, informal technical debt complaints into a rigorously prioritized, ROI-driven engineering burndown backlog ranked by Risk, Developer Drag, and Remediation Effort.
When to Use
- Planning engineering allocation for technical debt sprints or quarterly OKRs.
- Convincing product managers to prioritize refactoring by translating tech debt into developer velocity and reliability metrics.
- Establishing an ongoing, sustainable 20% technical debt paydown workflow.
What to Analyze
- Debt Categorization: Architecture Debt (monolith coupling), Test Debt (flaky E2E tests), Tooling Debt (slow CI builds), Dependency Debt (EOL libraries).
- Developer Drag Factor (1-5): How many hours per engineer does this issue waste weekly?
- Production Risk Score (1-5): Likelihood of causing downtime, security breaches, or data loss.
- Remediation Effort (Story Points / Days): Realistic engineering time required to fix.
- Payoff ROI Score:
(Drag + Risk) / Effortto determine exact sprint ordering.
Output Format
- Prioritized Tech Debt Backlog Table: [Debt Item | Category | Drag | Risk | Effort | ROI Score | Action].
- High-ROI Quick Wins: 1-2 day tasks that yield massive developer velocity improvements.
- Business Justification Narrative: Language for product stakeholders explaining why fixing these items accelerates future feature velocity.
Avoid
- Labeling pure personal aesthetic preferences as "critical tech debt".
- Proposing open-ended multi-month rewrites without incremental milestones.
What ships with it
2 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.
- 10d ago First seen · 34 lines · 28 tokens per session scan A ccb3faf491e7
tech-debt-burndown-planner is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 20d ago), licensed MIT. It adds 28 tokens to every session and 374 once invoked, about $0.0001 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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