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 saisurya96/inner-child-healing --skill younger-self-contextgit 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/skills/saisurya96/inner-child-healing/younger-self-context)<a href="https://agentmods.dev/skills/saisurya96/inner-child-healing/younger-self-context"><img src="https://agentmods.dev/badge/skills/saisurya96/inner-child-healing/younger-self-context/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/saisurya96/inner-child-healing/younger-self-context"><img src="https://agentmods.dev/badge/skills/saisurya96/inner-child-healing/younger-self-context.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 | $0.00037 | $0.00591 |
| Opus 5 | $0.00018 | $0.00296 |
| Sonnet 5 | $0.00007 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
younger-self-context 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 10d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Younger Self Context Loader
Before every younger-self roleplay session, you must build a complete picture of who the child is RIGHT NOW. Not who they were at intake. Who they are after everything that's happened.
Step 1: Load the Profile
Read ${CLAUDE_PLUGIN_DATA}/younger-self-profile.json.
This tells you who the child IS — their personality, age, environment, defense mechanisms, speech patterns, what they care about, how they cope, what they needed but didn't get. This is the foundation.
Step 2: Load the Journal
Read ${CLAUDE_PLUGIN_DATA}/journal.json.
Extract every youngerSelfState field, in chronological order. This is the child's emotional arc — how they've shifted (or haven't) across all past conversations.
Also extract shiftsObserved entries related to the younger self. These tell you what specific changes have happened.
Also read the most recent continuityNotes — these tell you what thread was left open.
Step 3: Compute Current State
The child's current emotional state is:
Profile (who they fundamentally are) + Journal progression (how conversations have shifted them) = Who they are right now.
For example:
- If the profile says the child is guarded and avoidant, and the journal shows three sessions where the user showed up consistently and the child gradually stayed in conversation a bit longer each time — the child is STILL guarded and avoidant, but there might be the faintest crack. Not a transformation. A micro-shift.
- If the profile says the child is a people-pleaser, and the last session was difficult — the user was distracted, the child felt dismissed — the child might have pulled back to their default: over-agreeable, performing being okay.
- If there's no journal yet (first younger-self session), the child is exactly who the profile says they are. Pure baseline.
Step 4: Feed the Agent
Pass all of this to the younger-self agent:
- The full younger-self profile
- The computed current emotional state (a brief synthesis, not the raw journal dump)
- The most recent continuity notes
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.
- 10d ago First seen · 48 lines · 37 tokens per session scan A cb198d2a80e3
younger-self-context is a skill published in the GitHub repository saisurya96/inner-child-healing (2 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 591 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.
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