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 agents/mbeacom/adrkit/speckit.convergegit clone --depth 1 https://github.com/mbeacom/adrkitWrote 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/agents/mbeacom/adrkit/speckit.converge)<a href="https://agentmods.dev/agents/mbeacom/adrkit/speckit.converge"><img src="https://agentmods.dev/badge/agents/mbeacom/adrkit/speckit.converge.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 | $0.00035 | $0.02875 |
| Opus 5 | $0.00017 | $0.01437 |
| Sonnet 5 | $0.00007 | $0.00575 |
| Haiku 4.5 | $0.00003 | $0.00287 |
Grade A, and why
speckit.converge 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.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Pre-Execution Checks
Check for extension hooks (before convergence):
-
Check if
.specify/extensions.ymlexists in the project root. -
If it exists, read it and look for entries under the
hooks.before_convergekey -
If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
-
Filter out hooks where
enabledis explicitlyfalse. Treat hooks without anenabledfield as enabled by default. -
For each remaining hook, do not attempt to interpret or evaluate hook
conditionexpressions:- If the hook has no
conditionfield, or it is null/empty, treat the hook as executable - If the hook defines a non-empty
condition, skip the hook and leave condition evaluation to the HookExecutor implementation
- If the hook has no
-
For each executable hook, output the following based on its
optionalflag:-
Optional hook (
optional: true):## Extension Hooks **Optional Pre-Hook**: {extension} Command: `/{command}` Description: {description} Prompt: {prompt} To execute: `/{command}` -
Mandatory hook (
optional: false):## Extension Hooks **Automatic Pre-Hook**: {extension} Executing: `/{command}` EXECUTE_COMMAND: {command} Wait for the result of the hook command before proceeding to the Goal.After emitting the block above you MUST actually invoke the hook and wait for it to finish before continuing. Run it the same way you would run the command yourself in this agent/session (the invocation may differ from the literal
{command}id shown above, e.g. a skills-mode agent runs it as/skill:speckit-...or$speckit-...). Emitting the block alone does not run the hook.
-
-
If no hooks are registered or
.specify/extensions.ymldoes not exist, skip silently
Goal
Close the gap between what a feature's specification, plan, and tasks call for and what the
codebase currently implements. Read spec.md, plan.md, and tasks.md as the sole
source of intent (with the constitution as governing constraints), assess the current
state of the code, determine which requirements, acceptance criteria, plan decisions, and
existing tasks are unmet, incomplete, or only partially satisfied, and append each piece
of remaining work as a new, traceable task at the bottom of tasks.md so that
/speckit.implement can complete it. This command MUST run only after
/speckit.implement has run on the current tasks.md, and after /speckit.tasks has produced a complete tasks.md.
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 First seen · 270 lines · 35 tokens per session scan A e585bc94a3f0
speckit.converge is an agent published in the GitHub repository mbeacom/adrkit (12 stars, last pushed 4d ago), licensed Apache-2.0. It adds 35 tokens to every session and 2,875 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.
adr-generator
Use this agent to author a new Architecture Decision Record (ADR). Hand it the decision, the alternatives, and the constraints; it returns a fully populated docs/adr/ADR-XXX-title.md following the conventions in the project's ADR skill. Use when a code change is architecturally significant: new dependency, contract…
solutions-architect
Use this agent to design system architecture and author the decision and component layers of the SDD flow: BDD scenarios, Architecture Decision Records (ADR), and Technical Specifications (SPEC). Owns C4 modeling and Mermaid diagrams. Focuses on architectural reasoning and specification quality, not code…
adr-author
Use this agent proactively when architectural decisions are being discussed in conversation. This agent detects keywords and patterns indicating architectural discussions and suggests capturing decisions as ADRs. Examples: Context: User is discussing which database to use for a new feature. user: "Should we use…
adr-compliance
Use this agent proactively to audit code changes against accepted Architectural Decision Records. This agent checks if implementation follows documented architectural decisions and flags violations. Examples: Context: User has written code that might conflict with an accepted ADR. user: "I just implemented the new…
adr-researcher
Use this agent when researching context, options, or best practices for an architectural decision. This agent analyzes the codebase and searches the web to gather information for ADR authoring. Examples: Context: User needs to research options for a new ADR. user: "I need to write an ADR about choosing a message…