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 tamnguyendinh/Anvien --skill sequential-thinkinggit clone --depth 1 https://github.com/tamnguyendinh/AnvienWrote 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/tamnguyendinh/anvien/sequential-thinking)<a href="https://agentmods.dev/skills/tamnguyendinh/anvien/sequential-thinking"><img src="https://agentmods.dev/badge/skills/tamnguyendinh/anvien/sequential-thinking/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/skills/tamnguyendinh/anvien/sequential-thinking"><img src="https://agentmods.dev/badge/skills/tamnguyendinh/anvien/sequential-thinking.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00015 | $0.00638 |
| Opus 5 | $0.00008 | $0.00319 |
| Sonnet 5 | $0.00003 | $0.00128 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
sequential-thinking 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 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.
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.
This is a copy
88% identical to sequential-thinking — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sequential Thinking
Enables structured problem-solving through iterative reasoning with revision and branching capabilities.
Core Capabilities
- Iterative reasoning: Break complex problems into sequential thought steps
- Dynamic scope: Adjust total thought count as understanding evolves
- Revision tracking: Reconsider and modify previous conclusions
- Branch exploration: Explore alternative reasoning paths from any point
- Maintained context: Keep track of reasoning chain throughout analysis
When to Use
Use mcp__reasoning__sequentialthinking when:
- Problem requires multiple interconnected reasoning steps
- Initial scope or approach is uncertain
- Need to filter through complexity to find core issues
- May need to backtrack or revise earlier conclusions
- Want to explore alternative solution paths
Don't use for: Simple queries, direct facts, or single-step tasks.
Basic Usage
The MCP tool mcp__reasoning__sequentialthinking accepts these parameters:
Required Parameters
thought(string): Current reasoning stepnextThoughtNeeded(boolean): Whether more reasoning is neededthoughtNumber(integer): Current step number (starts at 1)totalThoughts(integer): Estimated total steps needed
Optional Parameters
isRevision(boolean): Indicates this revises previous thinkingrevisesThought(integer): Which thought number is being reconsideredbranchFromThought(integer): Thought number to branch frombranchId(string): Identifier for this reasoning branch
Workflow Pattern
1. Start with initial thought (thoughtNumber: 1)
2. For each step:
- Express current reasoning in `thought`
- Estimate remaining work via `totalThoughts` (adjust dynamically)
- Set `nextThoughtNeeded: true` to continue
3. When reaching conclusion, set `nextThoughtNeeded: false`
Simple Example
// First thought
{
thought: "Problem involves optimizing database queries. Need to identify bottlenecks first.",
thoughtNumber: 1,
totalThoughts: 5,
nextThoughtNeeded: true
}
// Second thought
{
thought: "Analyzing query patterns reveals N+1 problem in user fetches.",
thoughtNumber: 2,
totalThoughts: 6, // Adjusted scope
nextThoughtNeeded: true
}
// ... continue until done
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 94 lines · 15 tokens per session scan A b98d45fd7b08
sequential-thinking is a skill published in the GitHub repository tamnguyendinh/Anvien (9 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 638 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to sequential-thinking, differing in 2 lines, and is treated as a copy.
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