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/jikig-ai/soleur/atdd-developernpx skills add jikig-ai/soleur --skill atdd-developergit clone --depth 1 https://github.com/jikig-ai/soleurWrote 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/jikig-ai/soleur/atdd-developer)<a href="https://agentmods.dev/skills/jikig-ai/soleur/atdd-developer"><img src="https://agentmods.dev/badge/skills/jikig-ai/soleur/atdd-developer.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 | $0.00038 | $0.00440 |
| Opus 5 | $0.00019 | $0.00220 |
| Sonnet 5 | $0.00008 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
atdd-developer 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 58 lines · 38 tokens per session scan A 169bff30825d
atdd-developer is a skill published in the GitHub repository jikig-ai/soleur (15 stars, last pushed yesterday), with no licence file. It adds 38 tokens to every session and 440 once invoked, about $0.0002 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 2026-09-04.
Other skills, from other repositories
skill-tdd
Build features with tests-before-code rigor — use for new features needing test coverage.
writing-skills
Use when creating a new forge-skill, editing an existing skill, when planning to contribute to forge-skills, when a session has produced a one-off prompt that should be promoted to a skill, or when verifying a skill works before deployment.
tdd
Use when implementing features or fixing bugs test-first, when user mentions "red-green-refactor", when test discipline is required for a specific task, when incremental-implementation needs TDD enforcement, or when a behavior change needs a failing test before any code is written.
incremental-implementation
Use when .forge/tasks.yaml exists and implementation is starting, when executing a planned task list one task at a time, when a feature must ship in independently-verifiable slices, or when contracts in .forge/contracts/ need to be implemented against acceptance criteria.
triage-issue
Use when user reports a bug, wants to file an issue, mentions "triage", when investigating a production problem before fixing it, when planning a fix that needs a TDD-shaped GitHub issue, or when a bug needs root-cause analysis before assignment.
flow-discover
Multi-AI research using available external providers (Double Diamond Discover phase).