project-knowledge-flow-writer

project-knowledge-flow-writer is a skill for Claude Code from acaprino/daodan. It costs 40 tokens per session (1,242 once invoked), scanned A, a copy of project-knowledge-doc-humanizer, MIT.

A documentation helper that records user and data flows from verified code paths and interface rules. It is used within a project-knowledge guide workflow.

In plain words
What is it for?
It helps write user-flow and data-flow documentation based on checked call paths and contracts.
Why use it?
It reduces the risk of documenting guessed behavior instead of what the code actually does. It also gives later readers a clear record of how users and data move through the system.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

Good fit It helps write user-flow and data-flow documentation based on checked call paths and contracts.

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Install with agentmods
npx agentmods add skills/acaprino/daodan/project-knowledge-flow-writer
Install

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.

Any agent
npx skills add acaprino/daodan --skill project-knowledge-flow-writer
Clone the repo
git clone --depth 1 https://github.com/acaprino/daodan

Made for: Claude Code.

Wrote 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.

agentmods badge for project-knowledge-flow-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/acaprino/daodan/project-knowledge-flow-writer/github.svg)](https://agentmods.dev/skills/acaprino/daodan/project-knowledge-flow-writer)
Your own site
<a href="https://agentmods.dev/skills/acaprino/daodan/project-knowledge-flow-writer"><img src="https://agentmods.dev/badge/skills/acaprino/daodan/project-knowledge-flow-writer/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.

agentmods 80×15 button for project-knowledge-flow-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/acaprino/daodan/project-knowledge-flow-writer"><img src="https://agentmods.dev/badge/skills/acaprino/daodan/project-knowledge-flow-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,242 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01242
Opus 5.5 $0.00016 $0.00497
Sonnet 5.5 $0.00008 $0.00248
Haiku 4.5 $0.00004 $0.00124

Measured 4d ago against content hash e112be2a6a91, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

project-knowledge-flow-writer 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.

Origin

This is a copy

89% identical to project-knowledge-doc-humanizer — 26 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.

exports/pi/plugins/project-knowledge/skills/project-knowledge-flow-writer/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<daodan_host_binding host="pi"> This binding governs execution of this package and its loaded references. It takes precedence over executable examples written for another host. Use only registered tools and their actual input schema; an example never creates a tool, argument, permission, model alias or nested worker capability. Preserve the generated worker allowlist, dependency closure, scope and delivery contracts.

Pi binding: repository reads use read/find/grep, writes use edit/write, and shell execution uses bash or the registered powershell alternative. Use their actual command, timeout and process-control schema rather than capitalized foreign tools. Core Pi supplies neither subagent nor MCP. Isolated workers require pi-subagents: pi install npm:pi-subagents. Use that extension's registered subagent schema and pass the full rendered role body inline. Role skills named - are body resources with automatic invocation disabled, not a built-in named agent. Workflow prompt entries use /-; ordinary skills use their exact registered names. If isolation is mandatory and unavailable, stop the phase. MCP requires pi-mcp-adapter: pi install npm:pi-mcp-adapter, then register the generated server command in its supported MCP configuration. Keep the selected package's full local dependency closure. Provision qualified foreign providers as skills/resources this runtime can load; Pi does not install another host's marketplace plugin from a Claude install command. Inherit the active session's model and default variant. A source model alias such as sonnet is not a portable override; request a different model only through an explicit adapter mapping to a valid host identity and user authorization. Kernel : references identify the logical provider. Ordinary Pi skills retain their source frontmatter name, so resolve the actual registered name and provider path from the active inventory; do not invent a prefixed native ID.

The executing agent and its coordinator own continuation, recovery, verification and delivery. Skills supply knowledge and method instructions; they are not executors or a runtime persistence mechanism.

Resolve each component by kind and exact installed identity. A role is dispatched as a worker, a skill loads instructions, and a workflow starts its declared method. Kernel owner-qualified skill references are logical provider identities: resolve them to the actual host registry name and verified installed provider path. Do not invent a registry string by adding an owner's prefix when the host does not use it. Do not load an agent identity as a skill or execute a workflow name as a shell command. Named foreign providers remain mandatory. If an installed provider, MCP server or required isolation mechanism is unavailable, stop its dependent phase and report the missing capability. Do not install a different host's plugin or substitute unrelated skills to claim coverage.

Shell execution alone does not establish interactive stdin. Before a capture or checkpoint, use an available session-control mechanism. When stdin is unavailable, keep user-driven capture in a supported background process with bounded output and an explicit stop signal controlled by the coordinator after the user's completion message. Close owned browser/process resources on completion or cancellation.

Continue working within the current authorization while the requested result is achievable. After a tool error, inspect its cause, correct the relevant input or implementation, retry when justified and verify the outcome; never repeat a failing action blindly. Do not close the turn with a promise or a partial result when an authorized next step can still produce or verify the requested result. Stop only for a documented real impediment, a missing required capability, an unresolved human decision or the caller's stop request. At that boundary, report completed results, remaining work and the concrete prerequisite for continuation; continue any independent work that the blocker does not prevent.

Read the full file on GitHub · 100 lines

Changes

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.

  1. 4d ago First seen · 100 lines · 40 tokens per session scan A e112be2a6a91

Subscribe to this mod's changes

project-knowledge-flow-writer is a skill published in the GitHub repository acaprino/daodan (9 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,242 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to project-knowledge-doc-humanizer, differing in 26 lines, and is treated as a copy.

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