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 agentmods add skills/ai-driven-dev/framework/featurenpx skills add ai-driven-dev/framework --skill featuregit clone --depth 1 https://github.com/ai-driven-dev/frameworkWhat 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 | $0.00082 | $0.00872 |
| Opus 5 | $0.00041 | $0.00436 |
| Sonnet 5 | $0.00016 | $0.00174 |
| Haiku 4.5 | $0.00008 | $0.00087 |
Grade A, and why
feature 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 yesterday.
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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature
Coordinates the five layer skills in vertical-slice order. Each step delegates entirely to the relevant layer skill. Skip any step when the change does not touch that layer.
Available actions
| # | Action | Role | Input |
|---|---|---|---|
| 01 | domain-model |
Define types, value objects, and invariants | concept description |
| 02 | use-case |
Implement business orchestration | domain types from 01 |
| 03 | adapter |
Add I/O boundary (only if a new port is needed) | use-case port needs |
| 04 | command |
Expose the feature in the CLI | use-case from 02 |
| 05 | test |
Write pyramid coverage | all layers from 01-04 |
Default flow
01 → 02 → 03 → 04 → 05
Skip rule: if a step's layer is not affected by the change, skip it explicitly and document why (e.g. "03 skipped — no new port needed, reusing existing PluginFetcher").
Conditional layers
These layers are triggered only when the change explicitly touches their domain. Evaluate each before starting the main flow and apply them in parallel with whichever main steps they overlap.
| Layer | Trigger condition | Skill |
|---|---|---|
tool |
Adding or modifying an AI tool definition in domain/tools/ai/ |
tool |
format |
Adding or modifying a pure string-transform function in domain/formats/ |
format |
capability |
Adding or modifying a capability class in domain/capabilities/ |
capability |
- If the feature adds a new AI tool: run
toolbefore step 01 (the tool definition underpins the domain model). - If the feature adds a pure format transform: run
formatat the same level as step 01. - If the feature adds a capability class: run
capabilitybeforetool(the Has* interface must exist before the tool composes it). - All three may be skipped when the change does not touch their respective domains — document the skip explicitly.
What ships with it
6 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.
- yesterday First seen · 65 lines · 82 tokens per session scan A 4c24b449ecf1
feature is a skill published in the GitHub repository ai-driven-dev/framework (445 stars, last pushed 2d ago), licensed MIT. It adds 82 tokens to every session and 872 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 2026-08-30.
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