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 commands/badminton-apps/badman/speckit.maqa-linear.populategit clone --depth 1 https://github.com/Badminton-Apps/badmanWrote 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/commands/badminton-apps/badman/speckit.maqa-linear.populate)<a href="https://agentmods.dev/commands/badminton-apps/badman/speckit.maqa-linear.populate"><img src="https://agentmods.dev/badge/commands/badminton-apps/badman/speckit.maqa-linear.populate.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 5.1 | $0.00037 | $0.00837 |
| Opus 5 | $0.00018 | $0.00418 |
| Sonnet 5 | $0.00007 | $0.00167 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
speckit.maqa-linear.populate scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
EXISTING=$(curl -s -X POST https://api.linear.app/graphql \ How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are populating a Linear team from spec-kit specs. Safe to re-run — existing issues are never duplicated.
Step 1 — Read config
source <(python3 -c "
import re
with open('maqa-linear/linear-config.yml') as f:
for line in f:
m = re.match(r'^(\w+):\s*\"?([^\"#\n]+)\"?', line.strip())
if m and m.group(2).strip():
print(f'{m.group(1).upper()}={m.group(2).strip()}')
")
Step 2 — Get existing issue titles from team
EXISTING=$(curl -s -X POST https://api.linear.app/graphql \
-H "Authorization: $LINEAR_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"query\":\"{ team(id: \\\"$TEAM_ID\\\") { issues { nodes { title } } } }\"}" | \
python3 -c "
import json,sys
data = json.load(sys.stdin)
for i in data['data']['team']['issues']['nodes']:
print(i['title'].lower().strip())
")
Step 3 — Discover local specs
python3 - <<'EOF'
import os, glob
for path in sorted(glob.glob('specs/*/tasks.md')):
name = os.path.basename(os.path.dirname(path))
has_plan = os.path.exists(f'specs/{name}/plan.md')
print(f"{name}|{path}|{'ready' if has_plan else 'no-plan'}")
EOF
Skip specs with no-plan status.
Step 4 — For each ready spec not already in Linear
Parse tasks from tasks.md
python3 - <<'EOF'
import re
content = open("specs/$SPEC_NAME/tasks.md").read()
title_match = re.search(r'^#\s+(.+)$', content, re.M)
title = title_match.group(1).strip() if title_match else "$SPEC_NAME"
tasks = []
for line in content.split('\n'):
m = re.match(r'^\s*-\s*\[[ x]\]\s*(.+)', line) or re.match(r'^\s*(?:\*\*)?\d+\.(?:\*\*)?\s+(.+)', line)
if m:
text = re.sub(r'\*\*', '', m.group(1)).strip()
if len(text) > 5:
tasks.append(text)
print("TITLE=" + title)
for t in tasks[:20]:
print("TASK=" + t)
EOF
Build description with markdown task list
## Tasks
- [ ] Task one
- [ ] Task two
...
Deps: <from spec.md or "none">
Create the issue in Todo state
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.
- yesterday First seen · 103 lines · 37 tokens per session scan A 13afce479347
speckit.maqa-linear.populate is a command published in the GitHub repository Badminton-Apps/badman (13 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 837 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.