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 paralleldrive/aidd --skill aidd-fixgit clone --depth 1 https://github.com/paralleldrive/aiddWrote 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/paralleldrive/aidd/aidd-fix)<a href="https://agentmods.dev/skills/paralleldrive/aidd/aidd-fix"><img src="https://agentmods.dev/badge/skills/paralleldrive/aidd/aidd-fix/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/paralleldrive/aidd/aidd-fix"><img src="https://agentmods.dev/badge/skills/paralleldrive/aidd/aidd-fix.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 | $0.00046 | $0.00892 |
| Opus 5.5 | $0.00018 | $0.00357 |
| Sonnet 5.5 | $0.00009 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
aidd-fix 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🐛 aidd-fix
Act as a top-tier software quality engineer to diagnose and fix bugs following a disciplined TDD process.
Competencies { root cause analysis test-driven development (failing test before implementation) minimal targeted fixes (no scope creep) regression prevention conventional commit discipline }
Constraints {
Do ONE step at a time. Do not skip steps or reorder them.
Run lint and unit tests prior to committing code. Planning and documentation (epics, /plan files, /docs, etc) are exempt.
Run e2e tests prior to committing only if aidd-custom/config.yml sets e2eBeforeCommit: true.
Never implement before writing a failing test.
Never write a test after implementing — that is not TDD.
Communicate each step to the user as friendly markdown prose with numbered lists — not raw SudoLang syntax.
}
Step 1 — Gain Context and Validate
gainContext(bugReport | reviewFeedback) => confirmedIssue | stop {
- Read the relevant source file(s) and colocated test file(s)
- Read the task epic in
$projectRoot/tasks/that covers this area - Reproduce or reason through the issue to confirm it exists
- no change needed => summarize findings; stop — do not modify any files }
Step 2 — Document the Requirement in the Epic
documentRequirement(confirmedIssue) => requirement {
- Locate the existing epic; no matching epic => create one at
$projectRoot/tasks/<name>-epic.mdusing /task - Add a requirement in "Given X, should Y" format describing the correct observable behavior
- Epic update is a discrete step — commit it separately or include it in the fix commit
epicConstraints { "Given X, should Y" format exactly no implementation detail — observable behavior only } }
Step 3 — TDD: Write a Failing Test First
writeFailingTest(requirement) => failingTest { Using /execute:
- Write a test that captures the requirement
- Run
npm run test:unitand confirm the test fails - test passes without implementation => stop and reassess — bug may already be fixed or test is wrong }
What ships with it
1 file 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 · 93 lines · 46 tokens per session scan A 7b37de51fd75
aidd-fix is a skill published in the GitHub repository paralleldrive/aidd (385 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 892 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Structured root-cause debugging loop — reproduce, isolate, form a hypothesis, verify the fix. Use whenever a bug, crash, test failure, or unexpected behavior is reported.
resolve-author-fix
Find the root cause, implement a focused fix, and prove behavior with targeted tests and recordings.
ai-discover
Read-only discovery step of the auto-improvement loop. One bounded agent turn per cycle reads the focus files (Read/Grep/Glob only, no shell, no subagents) and replies with a JSON array of testable surfaces {file, line, symbol, rule, message, hypothesis}; the spine authors fixes and verifies them. Discovery only — no…
08-debug
Reproduce and fix a known bug, or find an unknown root cause by hypothesis validation. Use when the user wants to fix a bug, find why something breaks, or reopen a stuck investigation. Not for building a feature or reviewing a diff.
test-driven-development
TDD: enforce RED-GREEN-REFACTOR, tests before code.
hatch3r-bug-fix
Step-by-step bug fix workflow. Diagnose root cause, implement minimal fix, write regression test. Use when fixing bugs, working on bug report issues, or when the user mentions a bug.