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 stealth-factory/skills --skill meaningful-linear-issuesgit clone --depth 1 https://github.com/stealth-factory/skillsWrote 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/stealth-factory/skills/meaningful-linear-issues)<a href="https://agentmods.dev/skills/stealth-factory/skills/meaningful-linear-issues"><img src="https://agentmods.dev/badge/skills/stealth-factory/skills/meaningful-linear-issues/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/stealth-factory/skills/meaningful-linear-issues"><img src="https://agentmods.dev/badge/skills/stealth-factory/skills/meaningful-linear-issues.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00181 | $0.02332 |
| Opus 5 | $0.00090 | $0.01166 |
| Sonnet 5 | $0.00036 | $0.00466 |
| Haiku 4.5 | $0.00018 | $0.00233 |
Grade A, and why
meaningful-linear-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 10d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meaningful Linear issues
A good issue is not just a good description — that's the easy half. The half agents skip is the metadata that makes Linear actually work as a planning tool: estimates feed cycle velocity, labels feed breakdowns, milestones feed roadmaps, the project feeds everything. Those fields are optional in the API, so agents leave them blank and the user has to come back and ask again.
Flip the default: metadata is opt-OUT, not opt-in. Resolve and fill it before
calling save_issue, in one pass — propose concrete values, don't omit.
Cardinal rule: never guess the project
The single worst failure is dropping an issue into the wrong/random project. Resolve the project in this order — stop at the first that's certain:
- Context — the issue's repo/area maps to a known project; the user named it; a sibling issue you're relating to has one.
- Confirm — call
list_projectsand match by name; if one clearly fits, state which and proceed. - Ask — if it's still ambiguous, ask the user which project rather than picking one. A missing project is recoverable; a wrong one quietly pollutes the wrong roadmap.
Never pass a project you inferred from vibes. Team is required too — usually
unambiguous from the project, but resolve it the same way.
The one-pass workflow
- Discover what's available (only what you don't already know): projects, the team's label taxonomy, milestones, the current cycle, assignable users.
- Draft the issue with every applicable field filled (checklist below).
- Create with one
save_issuecall. If anything was genuinely a judgment call (estimate, priority), state the values you chose so the user can correct one — that's still one pass, not "I left them blank, ask me again."
Create vs. backfill — mind the id
Same checklist, two save_issue modes — don't conflate them:
- Create (new issue):
save_issuewith noid. Fill everything below. - Backfill (existing bare issue):
save_issueWITH itsid— update, don't create. Omitting theidhere would make a duplicate.get_issuefirst if you need to see what's already set, then pass only the fields you're adding.labelsreplaces the whole set — include existing labels alongside the new ones. Relations (blocks/blockedBy/relatedTo) are append-only — adding one won't drop existing links (useremoveBlocks/removeBlockedBy/removeRelatedToto remove). Other fields you don't pass are left untouched.
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.
- 10d ago First seen · 150 lines · 181 tokens per session scan A 2fbae39982ca
meaningful-linear-issues is a skill published in the GitHub repository stealth-factory/skills (3 stars, last pushed 15d ago), licensed MIT. It adds 181 tokens to every session and 2,332 once invoked, about $0.0009 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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