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/synaptiai/synapti-marketplace/issuegit clone --depth 1 https://github.com/synaptiai/synapti-marketplaceWrote 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/synaptiai/synapti-marketplace/issue)<a href="https://agentmods.dev/commands/synaptiai/synapti-marketplace/issue"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/issue.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 | $0.00028 | $0.01407 |
| Opus 5 | $0.00014 | $0.00704 |
| Sonnet 5 | $0.00006 | $0.00281 |
| Haiku 4.5 | $0.00003 | $0.00141 |
Grade A, and why
issue 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 2d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Issue: $ARGUMENTS
Skill-driven issue creation. Follows the Explore > Plan > Code > Verify loop with issue-crafting skill knowledge.
Required Skills
issue-crafting— solution-agnostic issues, duplicate detection, label discovery
Phase 1: EXPLORE
Gather context before formulating the issue.
# Output: `###`-headed sections + KEY=value per
# `references/command-output-format.md`.
echo "### Repo Context"
REPO=$(gh repo view --json nameWithOwner --jq '.nameWithOwner' 2>/dev/null)
if [ -z "$REPO" ]; then
echo "STATE=unavailable"
echo "ERROR=cannot resolve repo (gh auth or non-repo CWD?)"
else
echo "STATE=ok"
echo "REPO=$REPO"
fi
echo ""
echo "### Git State"
echo "BRANCH=$(git branch --show-current 2>/dev/null)"
UNCOMMITTED_COUNT=$(git status --porcelain 2>/dev/null | wc -l | tr -d ' ')
echo "UNCOMMITTED_COUNT=$UNCOMMITTED_COUNT"
[ "$UNCOMMITTED_COUNT" != "0" ] && git status --short 2>/dev/null | head -20 | sed 's/^/UNCOMMITTED_LINE=/'
true
Branch context extraction: If on a feature branch matching feature/issue-{N}-* or fix/issue-{N}-*, extract the issue number — the new issue may be related.
Requirements gathering from $ARGUMENTS:
If $ARGUMENTS provides a description, parse it for initial context. For each missing element, use the AskUserQuestion tool with contextual options:
- Context: "What's the background/motivation for this issue?"
- Current State: "What's happening now? What's the problem or gap?"
- Objective: "What should be achieved? Describe the desired outcome."
- Acceptance Criteria: "What observable behaviors prove this is complete?"
If $ARGUMENTS is empty, walk through all four elements interactively.
Iron law enforcement: If any gathered element contains file paths, function names, class names, or implementation details — rewrite it to describe outcomes instead. Example:
- Bad: "Add a reset_password method to UserController"
- Good: "Users can reset their password via email"
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.
- 2d ago First seen · 194 lines · 28 tokens per session scan A d42e6d7f7721
issue is a command published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,407 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
create-worktree
Follow these steps to create a git worktree.
hf.audit-tests
Run a comprehensive test quality audit across the entire repo. Analyzes test naming, structure, hygiene, factory usage, fluent builder patterns, anti-patterns, coverage gaps, and flaky patterns. Creates GitHub issues for findings so HydraFlow can process them.
hf.issue
Take a rough description from the user, research the relevant codebase, and create a well-structured GitHub issue with full context, file references, and acceptance criteria.
paper-trail-review
Review and arbitrate problematic references (cascade-exhausted, unresolved UID, awaiting OCR). Generates an up-to-date report, walks through cases by category, and applies arbitration decisions to the registry.
hf.memory
Scan the current conversation for architectural decisions, bug root causes, configuration choices, codebase patterns, and workflow preferences. Write each as a memory item to the local JSONL store for ingestion by the memory sync worker.
paper-trail-decide
Inspect a single reference in detail (identity, PDF status, acquisition history with verdicts, citation context in vault, state transitions) and decide its fate. Offers actionable decisions based on the ref's current state.