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 skills/itdove/devaiflow/daf-workflownpx skills add itdove/devaiflow --skill daf-workflowgit clone --depth 1 https://github.com/itdove/devaiflowWhat 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 | $0.00068 | $0.02509 |
| Opus 5 | $0.00034 | $0.01255 |
| Sonnet 5 | $0.00014 | $0.00502 |
| Haiku 4.5 | $0.00007 | $0.00251 |
Grade A, and why
daf-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevAIFlow Session Context
Run this command to check the session environment:
echo "DAF_SESSION_NAME=$DAF_SESSION_NAME" "DAF_COMMAND=$DAF_COMMAND"
Important: Use this command exactly as written — the text must match the agent's permission pattern. Do not rephrase or restructure.
If DAF_SESSION_NAME is set (non-empty), this is a managed DevAIFlow session — follow the initialization steps below. If empty, skip to the Standalone Workflow Guide section at the bottom.
Session Initialization
When DAF_SESSION_NAME is set, perform these steps before doing any other work:
1. Read Session Metadata
daf info $DAF_SESSION_NAME
This shows: session name, goal, issue key, status, working directory, branch, workspace, session type, and conversation history.
2. Read Issue Tracker Ticket
If daf info shows an issue key (e.g., owner/repo#123 or PROJ-456), read the ticket using that key:
# For GitHub issues (use the issue number from daf info)
gh issue view <number> --comments
# For GitLab issues
glab issue view <number> --comments
# For JIRA tickets (use the issue key from daf info)
daf jira view <issue_key> --comments
Replace <number> or <issue_key> with the actual value shown in daf info output.
3. Read Context Files
First, discover the DevAIFlow config directory:
CONFIG_DIR=$(daf config show --paths | grep config_dir | cut -d= -f2)
Then read the hierarchical context files if they exist in CONFIG_DIR:
CONFIG_DIR/ENTERPRISE.md(enterprise-wide policies and standards)CONFIG_DIR/ORGANIZATION.md(organization coding standards)CONFIG_DIR/TEAM.md(team conventions and workflows)CONFIG_DIR/USER.md(personal notes and preferences)
4. Read Skill Files
Using the same CONFIG_DIR from Step 3, check for additional skills:
CONFIG_DIR/.claude/skills/(enterprise/organization/team/user skills)- Project-level skills in the project's
.claude/skills/directory
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 · 282 lines · 68 tokens per session scan A dcafedda4695
daf-workflow is a skill published in the GitHub repository itdove/devaiflow (2 stars, last pushed 13d ago), licensed Apache-2.0. It adds 68 tokens to every session and 2,509 once invoked, about $0.0003 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 2026-08-31.
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