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/0xrafasec/ai-workflow/issuesnpx skills add 0xrafasec/ai-workflow --skill issuesgit clone --depth 1 https://github.com/0xrafasec/ai-workflowWrote 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/0xrafasec/ai-workflow/issues)<a href="https://agentmods.dev/skills/0xrafasec/ai-workflow/issues"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/issues.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 | $0.00104 | $0.04828 |
| Opus 5 | $0.00052 | $0.02414 |
| Sonnet 5 | $0.00021 | $0.00966 |
| Haiku 4.5 | $0.00010 | $0.00483 |
Grade A, and why
issues 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 4d 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
File GitHub milestones and issues for: $ARGUMENTS
What this skill does
/issues is the hand-off between planning artifacts (docs/roadmap/*.md, docs/specs/*.md) and GitHub. It files:
- One milestone per phase —
Phase NNN — <phase-name> - One issue per task/slice — title
[NNN.N] <task-name>for a roadmap task,[NNN.N.N] <slice-name>for a sliced sub-task, or[<feature>.NNN] <slice-name>for a standalone spec's slice. - Labels per issue —
type:<type>,complexity:<low|med|high>,mvporpost-mvp(if derivable), andneeds-spec/spec-ready/blockedas appropriate. - Issue body — spec link, file list, dependencies, verification command, feature flag, acceptance criteria pulled from the spec.
After filing, /issues writes the issue numbers back into the source Issue: / Issues: columns so /feature can read them when building branch names.
Parse arguments
The argument is one of:
- Roadmap index —
/issues docs/roadmap/README.mdfiles everything: one milestone per phase file, one issue per task, one issue per slice where a task points at a sliced spec. - Phase file —
/issues docs/roadmap/NNN_<phase>.mdfiles one milestone + the phase's tasks (and slices where applicable). - Sliced spec index —
/issues docs/specs/NNN_<feature>/README.mdfiles one issue per row in the Slices table. Uses the feature's existing milestone if found (matched by phase reference in the spec), otherwise creates a standalone no-milestone batch. - Single spec —
/issues docs/specs/NNN_<feature>.mdfiles one issue. No milestone unless the spec references a phase.
No argument? Default to docs/roadmap/README.md if it exists; otherwise prompt.
Transport: GitHub MCP first, gh fallback
Prefer the GitHub MCP (tool names starting with mcp__github__* or similar) for every read and write. It gives structured JSON in/out and avoids shelling out.
Detection order at skill start:
- If
mcp__github__*tools are available in this session, use them. Callmcp__github__authenticate(or the equivalent) first if the server reports unauthenticated. If the MCP tool list includes create/update/list tools for issues, milestones, and labels, run the entire skill through MCP. - If GitHub MCP is not available, or a specific action isn't exposed by the MCP, fall back to the
ghCLI. Rungh auth statusonce; if it fails, tell the user to rungh auth login(their call — don't do it for them) and stop. - Never mix mid-run for the same action type. Pick one transport per session; if you start on MCP and hit a missing tool, switch everything remaining to
ghrather than interleaving.
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.
- 4d ago First seen · 255 lines · 104 tokens per session scan A 083b5fab7614
issues is a skill published in the GitHub repository 0xrafasec/ai-workflow (9 stars, last pushed 2d ago), licensed MIT. It adds 104 tokens to every session and 4,828 once invoked, about $0.0005 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 2026-08-31.
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