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.
git clone --depth 1 https://github.com/mumerfarooq-con/asdlc-toolsWrote 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/plugins/mumerfarooq-con/asdlc-tools/asdlc)<a href="https://agentmods.dev/plugins/mumerfarooq-con/asdlc-tools/asdlc"><img src="https://agentmods.dev/badge/plugins/mumerfarooq-con/asdlc-tools/asdlc/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/plugins/mumerfarooq-con/asdlc-tools/asdlc"><img src="https://agentmods.dev/badge/plugins/mumerfarooq-con/asdlc-tools/asdlc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
asdlc 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 4d 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.
What it actually says
{
"name": "asdlc",
"version": "1.2.0",
"description": "PRD Implementor, PR Review, PDQC, Jira leg — commands and subagents",
"author": { "name": "Conovo Platform" }
}
What it installs
The manifest is a name and a version. 5 commands, 15 agents travel with it, and installing the plugin installs all of them — 953 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Command jira-run A 17 tokens
- Command implement-prd A 41 tokens
- Command pdqc A 41 tokens
- Command review-pr A 28 tokens
- Command jira-setup A 24 tokens
- Agent pr-reviewer A 82 tokens
- Agent prd-reviewer A 78 tokens
- Agent inspector-contract-consistency A 39 tokens
- Agent inspector-error-edge A 33 tokens
- Agent prd-executor A 69 tokens
- Agent prd-tester A 61 tokens
- Agent inspector-documentation A 34 tokens
- Agent inspector-maintainability-debt A 35 tokens
- Agent inspector-operability A 30 tokens
- Agent pr-review-chair A 54 tokens
- Agent pr-reviewer-architecture A 62 tokens
- Agent pr-reviewer-correctness A 62 tokens
- Agent pr-reviewer-security A 62 tokens
- Agent prd-planner A 65 tokens
- Agent qa-chair A 36 tokens
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.
- 4d ago Changed 70591cb84f15
- 9d ago Changed 7daac94c672e
- 1mo ago First seen · 7 lines scan A ed09e148dc44
asdlc is a plugin published in the GitHub repository mumerfarooq-con/asdlc-tools (2 stars, last pushed 5d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
review-all
Comprehensive, project-agnostic, multi-agent code review for Claude Code with verification to eliminate false positives.
pm
GitHub issue lifecycle: brainstorm design approaches, create structured issues for LLM agent teams, triage and recommend next issues, audit and clean up stale backlogs, and deep-validate individual issues against the codebase.
council
AI Council - Orchestrate multiple AI consultants (Gemini 3.8 Flash, Codex, GLM-5.3, Kimi K3) for consensus-driven code reviews, plan validation, and architectural decisions.
cdt
Multi-agent development workflow with five modes: plan, dev, full, auto, and bugfix. Uses Agent Teams for collaborative roles (Architect, PM, Developer, Tester, Reviewer) and a Researcher subagent for documentation lookups via Context7.
plugin-dev
Plugin development tools: scaffold new plugins, validate SKILL.md frontmatter, audit hooks for silent failures.
ci-review
CI-optimized code review: multi-agent parallel review with confidence scoring and atomic GitHub PR review posting via gh api.