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 ai-driven-dev/framework --skill 07-epicgit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/ai-driven-dev/framework/07-epic)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/07-epic"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/07-epic/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/ai-driven-dev/framework/07-epic"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/07-epic.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00047 | $0.00269 |
| Opus 5.5 | $0.00019 | $0.00108 |
| Sonnet 5.5 | $0.00009 | $0.00054 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
07-epic 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 1mo 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
Epic
flowchart LR
source([request, Product Brief, PRD, or Epic]) --> shape --> review --> finalize
source -->|"already persisted"| finalize
review -->|"revise"| shape
finalize -->|"revise"| shape
finalize -->|"authorized"| done([Epic])
Actions
Run the flow above. Read only the next action file.
| Action | Does |
|---|---|
| shape | frame one outcome-based Epic |
| review | challenge its coherence and readiness |
| finalize | approve, persist, or transition |
Transversal rules
- Keep product and lifecycle decisions with the user.
- Separate evidence, decisions, and assumptions.
- Preserve source links and existing edits.
- Ask natural questions; never expose actions, references, or unchanged state.
- Require explicit approval or caller-provided bounded authority before any write.
- Stay at outcome level; do not propose child slices or implementation.
What ships with it
10 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.
- 1mo ago First seen · 36 lines · 47 tokens per session scan A 236c578c4560
07-epic is a skill published in the GitHub repository ai-driven-dev/framework (522 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 269 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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