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/terry-mao/aicodingflow/bootstrap-issue-confignpx skills add Terry-Mao/AICodingFlow --skill bootstrap-issue-configgit clone --depth 1 https://github.com/Terry-Mao/AICodingFlowWhat 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 | $0.00061 | $0.01391 |
| Opus 5 | $0.00030 | $0.00696 |
| Sonnet 5 | $0.00012 | $0.00278 |
| Haiku 4.5 | $0.00006 | $0.00139 |
Grade A, and why
bootstrap-issue-config 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 3d 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.
This is a copy
89% identical to bootstrap-issue-config — 39 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bootstrap issue triage configuration
Analyze the target repository and generate (or update) the issue triage configuration files used by the triage-new-issues workflow.
Outputs
This skill produces two files:
.github/issue-triage/config.json— label definitions used during triage..github/CODEOWNERS— CODEOWNERS-style ownership mappings from path patterns to GitHub usernames.
Workflow
1. Discover existing labels
- Use
gh label list --repo <owner>/<repo> --limit 200 --json name,color,descriptionto fetch all labels currently defined on the repository. - Classify each label into one of three categories:
- area labels — identify a component or subsystem (e.g.
area:api,area:docs). - feature labels — identify a capability or request type (e.g.
enhancement,bug,documentation). - status labels — identify workflow state (e.g.
triaged,needs-info,wontfix).
- area labels — identify a component or subsystem (e.g.
- If the repository has very few or no labels, seed the config with sensible defaults:
triaged(status),bug(feature),enhancement(feature),documentation(feature),needs-info(status),duplicate(status)repro:high,repro:medium,repro:low,repro:unknown(status)
2. Analyze recent issues
- Use
gh issue list --repo <owner>/<repo> --state all --limit 100 --json number,title,labels,createdAtto fetch recent issues. - If issues use labels that are not yet captured, add them to the appropriate category.
- Look at
.github/ISSUE_TEMPLATE/for template files — template names and labels referenced in templates can inform label discovery.
3. Generate or update config.json
- Read any existing
.github/issue-triage/config.json. - Merge newly discovered labels into the existing
labelsobject. Do not remove labels that already exist in the config — only add or update. - The config must contain only the
labelskey. Do not includestakeholdersordefault_experts. labelsmust be a flat object keyed by the exact GitHub label name, including prefixes such asarea:workfloworrepro:high. Do not nest labels by category.- Each label entry must have
color(6-character hex without#) anddescription(one-sentence summary):{ "labels": { "triaged": { "color": "0E8A16", "description": "Initial triage has been completed for this issue" }, "area:workflow": { "color": "7057FF", "description": "GitHub workflows, Python automation, or integration" } } } - Write the result to
.github/issue-triage/config.json. - Validate with
jq . .github/issue-triage/config.json.
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.
- 3d ago First seen · 117 lines · 61 tokens per session scan A e09307c24c61
bootstrap-issue-config is a skill published in the GitHub repository Terry-Mao/AICodingFlow (165 stars, last pushed 5d ago), licensed MIT. It adds 61 tokens to every session and 1,391 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to bootstrap-issue-config, differing in 39 lines, and is treated as a copy.
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