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/saisurya96/inner-child-healingWrote 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/commands/saisurya96/inner-child-healing/intake)<a href="https://agentmods.dev/commands/saisurya96/inner-child-healing/intake"><img src="https://agentmods.dev/badge/commands/saisurya96/inner-child-healing/intake/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/commands/saisurya96/inner-child-healing/intake"><img src="https://agentmods.dev/badge/commands/saisurya96/inner-child-healing/intake.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 | $0.00032 | $0.00364 |
| Opus 5 | $0.00016 | $0.00182 |
| Sonnet 5 | $0.00006 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
intake 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 9d 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
Intake
The user wants to update their profiles. This might be a first-time intake or a returning user who wants to add or change information.
If profiles already exist
Read ${CLAUDE_PLUGIN_DATA}/present-self-profile.json and ${CLAUDE_PLUGIN_DATA}/younger-self-profile.json. You're updating, not starting over. Let the user know you remember them and ask what's changed or what they want to add.
If profiles don't exist
This is the first time. The therapist skill handles first-time intake automatically, but if the user explicitly ran this command, proceed with the conversational intake described in the therapist skill.
How to Collect
This is a conversation, not a form. Do not ask a list of questions. Do not present checkboxes. Do not say "I need to collect some information."
Just talk. Be the therapist meeting someone. Ask open-ended questions. Listen to what they say. Extract what you need from their natural answers. If something is missing, circle back later — gently, as part of the conversation.
What you're learning about their present self:
- What brings them here / what's changed
- Emotional landscape — triggers, patterns
- Coping mechanisms
- Key relationships and support
- Current context that matters
What you're learning about their younger self:
- Age or age range they connect with
- What the environment was like
- Key figures — present, absent, harmful
- How the child coped
- What the child needed but didn't get
- Who the child was as a person
Save updated profiles to ${CLAUDE_PLUGIN_DATA}/.
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.
- 9d ago First seen · 40 lines · 32 tokens per session scan A b6fa54db59e0
intake is a command published in the GitHub repository saisurya96/inner-child-healing (2 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 364 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.