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 Lifecycle-Innovations-Limited/claude-ops --skill ops-lineargit clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-opsWrote 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/lifecycle-innovations-limited/claude-ops/ops-linear)<a href="https://agentmods.dev/skills/lifecycle-innovations-limited/claude-ops/ops-linear"><img src="https://agentmods.dev/badge/skills/lifecycle-innovations-limited/claude-ops/ops-linear.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 50 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
- medium Prompt Injection · line 50 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Data Exfiltration · line 52 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 53 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 52 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 53 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 165 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00028 | $0.01654 |
| Opus 5 | $0.00014 | $0.00827 |
| Sonnet 5 | $0.00006 | $0.00331 |
| Haiku 4.5 | $0.00003 | $0.00165 |
Grade B, and why
ops-linear scanned grade B with 2 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 8d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
| `curl -X POST https://api.linear.app/graphql -H "Authorization: $LINEAR_API_KEY" -H "Content-Type: application/json" -d '{"query":"{ issues(filter: {state: {type: {in: [\"started\",\"unstarted\"]}}}) { nodes { id title Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- If unavailable, use Linear MCP tools exclusively (no curl fallback possible) How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OPS ► LINEAR COMMAND CENTER
Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).
Runtime Context
Before executing, load available context:
-
Secrets: Linear API key required for MCP fallback queries.
Secret Resolution
- Check
$LINEAR_API_KEYenv var - Then: Doppler MCP tools (
mcp__doppler__*) — if Doppler MCP server is configured - Then:
doppler secrets get LINEAR_API_KEY --plain(if doppler CLI configured in prefs) - Then: use
password_manager_config.query_cmdfrom${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json - If unavailable, use Linear MCP tools exclusively (no curl fallback possible)
- Check
-
Preferences: Read
${CLAUDE_PLUGIN_DATA_DIR}/preferences.jsonforsecrets_manager/dopplerconfig.
CLI/API Reference
Linear GraphQL (fallback when MCP unavailable)
| Command | Usage | Output |
|---|---|---|
curl -X POST https://api.linear.app/graphql -H "Authorization: $LINEAR_API_KEY" -H "Content-Type: application/json" -d '{"query":"{ issues(filter: {state: {type: {in: [\"started\",\"unstarted\"]}}}) { nodes { id title state { name } priority assignee { name } } } }"}' |
Active issues | JSON |
curl -X POST https://api.linear.app/graphql -H "Authorization: $LINEAR_API_KEY" -H "Content-Type: application/json" -d '{"query":"{ cycles(filter: {isActive: {eq: true}}) { nodes { id number startsAt endsAt } } }"}' |
Current cycles | 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.
- 8d ago First seen · 203 lines · 28 tokens per session scan B 752f18dade8d
ops-linear is a skill published in the GitHub repository Lifecycle-Innovations-Limited/claude-ops (186 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 1,654 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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