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 HoangNguyen0403/agent-skills-standard --skill dev-fixgit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/dev-fix)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/dev-fix"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/dev-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/hoangnguyen0403/agent-skills-standard/dev-fix"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/dev-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 | $0.00043 | $0.01776 |
| Opus 5.5 | $0.00017 | $0.00710 |
| Sonnet 5.5 | $0.00009 | $0.00355 |
| Haiku 4.5 | $0.00004 | $0.00178 |
Grade A, and why
dev-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 27d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dev Fix Skill
[!IMPORTANT] Unified developer workflow for fixing bugs. Analyzes issue-tracker context, cross-checks docs/code, proposes a solution, implements the fix, verifies locally, and delivers a PR/MR.
Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.
Instructions
When the user asks to perform this workflow, execute the following steps:
Dev-Fix — Bug Remediation
Goal: Take a bug ticket from root-cause analysis through a locally-verified PR/MR, enforcing a strict Propose -> Approve -> Verify cycle.
Input
/dev-fix <issue-url-or-key>
Workflow
Step 0: Environment Prep (Turbo)
// turbo
- Sync Registry:
git pull origin mainin the standard repo.
Step 1: Research & Discovery (Implementation Plan Phase)
[!TIP] Sub-Agent Delegation: If your platform supports sub-agents, delegate ticket extraction to
specialist-jira-analystand context lookup tospecialist-codebase-scout. If sub-agents are NOT supported, execute these steps yourself.
- Analyze Ticket: Use installed Jira/GitHub/GitLab/ADO MCP first; otherwise use exported ticket text. Extract
Reproduce steps,Expected Result, andActual Result. - Cross-Check Context: Use knowledge-base MCP when configured; otherwise use local code search. Locate relevant code.
- Create Implementation Plan:
- Use the Implementation Plan Template below.
- Initialize project-local
docs/prd/prd-plan-[slug].md. - Goal: Clear description of the root cause.
- Proposed Changes: Exact files and logic to be modified.
- Verification Plan: Detail which QE skill will be used to verify the fix locally before PR.
- Do not propose code changes until repro steps, expected result, and root cause hypothesis are explicit.
- SNC: score per
common-task-complexity-routing; recordsnc_tier/model_tierin the plan.
- HARD STOP: Request user approval for the implementation plan. Mandatory at
snc_tier=high;mediumrequires self-review first;lowmay skip approval in autonomous mode only. - Readiness Gate: Run
implementation-readiness; code only after READY or approved PARTIAL.
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.
- 27d ago Changed · +1 lines 22f215d9516c
- 1mo ago Changed · -2 lines dd679cb74e6d
- 1mo ago Changed 2a1486e5149f
- 1mo ago Changed · +2 lines 07ac53818341
- 1mo ago First seen · 180 lines · 43 tokens per session scan A 497177eb182f
dev-fix is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (583 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 1,776 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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