Borrowing it
Nothing to install: this file belongs to hackafterdark/context-sherpa. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hackafterdark/context-sherpa/main/.agents/skills/symbolic-index-sync/SKILL.mdgit clone --depth 1 https://github.com/hackafterdark/context-sherpaWrote 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/hackafterdark/context-sherpa/symbolic-index-sync)<a href="https://agentmods.dev/skills/hackafterdark/context-sherpa/symbolic-index-sync"><img src="https://agentmods.dev/badge/skills/hackafterdark/context-sherpa/symbolic-index-sync/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/hackafterdark/context-sherpa/symbolic-index-sync"><img src="https://agentmods.dev/badge/skills/hackafterdark/context-sherpa/symbolic-index-sync.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 | $0.00028 | $0.00356 |
| Opus 5 | $0.00014 | $0.00178 |
| Sonnet 5 | $0.00006 | $0.00071 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
Symbolic Index Synchronization 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
Skill: Symbolic Index Synchronization
Goal: Ensure the AI's symbolic map matches the current state of the disk, especially after creating new files or large refactors.
Detection Logic (When to Sync)
- The "Ghost Symbol" Error: If the agent just wrote a new struct/function but
search_definitionsreturns 0 results for it. - Post-Refactor: After the agent completes a multi-file edit (e.g., renaming a package).
- New Workspace: Upon first entering a workspace that lacks a
.context-sherpa/directory.
Execution Pattern
- Verification: Call
lsordiron the project root to confirm the new files exist on disk. - Trigger: Call the
initialize_sciptool. If the language is not automatically detected, specify it based on the file extensions found. - Verification: Re-run the original
search_definitionsorget_symbol_mapcall to confirm the new logic is now "visible" to the symbolic engine.
Token Efficiency Hint
Do not re-index for every single line of code added. Only trigger a sync when you need to perform relational analysis (e.g., "Who calls this new method?") that simple grep or the editor's local buffer cannot handle accurately.
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 · 27 lines · 28 tokens per session scan A e6d6e27b07a0
Symbolic Index Synchronization is a skill published in the GitHub repository hackafterdark/context-sherpa (27 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 356 once invoked, about $0.0001 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 2026-08-30.
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