Borrowing it
Nothing to install: this file belongs to ProfSynapse/Synaptic-Tuner. 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/ProfSynapse/Synaptic-Tuner/main/.agents/skills/source-ingestion/SKILL.mdgit clone --depth 1 https://github.com/ProfSynapse/Synaptic-TunerWrote 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/profsynapse/synaptic-tuner/source-ingestion)<a href="https://agentmods.dev/skills/profsynapse/synaptic-tuner/source-ingestion"><img src="https://agentmods.dev/badge/skills/profsynapse/synaptic-tuner/source-ingestion/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/profsynapse/synaptic-tuner/source-ingestion"><img src="https://agentmods.dev/badge/skills/profsynapse/synaptic-tuner/source-ingestion.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 | $0.00085 | $0.00398 |
| Opus 5.5 | $0.00034 | $0.00159 |
| Sonnet 5.5 | $0.00017 | $0.00080 |
| Haiku 4.5 | $0.00009 | $0.00040 |
Grade A, and why
source-ingestion 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 1mo 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
Source ingestion
Turn an authorized Markdown selection into a verified, private normalized source bundle. V1 contains one grounded recipe: Markdown with optional YAML frontmatter. It does not assign training-example semantics.
Workflow
- Establish authority and scope by following
protocols/ingest-local-markdown.md. - Configure the one supported recipe with
protocols/configure-markdown-recipe.md. - Execute only through the public CLI or API boundary in
protocols/execute-ingestion.md. - If execution does not verify, follow
protocols/diagnose-ingestion.mdand do not mutate source material without separate authorization. - Verify and hand off the normalized source bundle with
protocols/verify-and-handoff.md. - Before delivery, run
protocols/validate-and-sync.md, then finish withprotocols/deliver-project-local.md.
Map
protocols/contains the ordered procedures. Load only the current step.references/documents public surfaces, exact config, parsing, lifecycle, privacy, bundle, and handoff contracts.templates/contains the CLI config and aggregate checkpoint to copy.scripts/validates configs, command results, and this skill tree. Run these tools; do not reimplement their checks ad hoc.
Refine
After a session that exercised this skill, run protocols/self-refine.md.
What ships with it
21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- protocols/configure-markdown-recipe.md 1.9 KB
- protocols/deliver-project-local.md 1.3 KB
- protocols/diagnose-ingestion.md 2.5 KB
- protocols/execute-ingestion.md 1.6 KB
- protocols/ingest-local-markdown.md 1.8 KB
- protocols/self-refine.md 1.4 KB
- protocols/validate-and-sync.md 1.6 KB
- protocols/verify-and-handoff.md 2.1 KB
- references/dataset-handoff.md 2.1 KB
- references/ingestion-cli-config.md 3.9 KB
- references/lifecycle-and-diagnostics.md 4.2 KB
- references/markdown-yaml-frontmatter.md 2.7 KB
- references/privacy-determinism-and-bundles.md 2.7 KB
- references/refinement-log.md 475 B
- references/supported-surfaces.md 2.8 KB
- scripts/validate_ingestion_config.py 8.6 KB runs code
- scripts/validate_ingestion_result.py 8.8 KB runs code
- scripts/validate_source_ingestion_skill.py 5.1 KB runs code
- skill-spec.md 8.0 KB
- templates/ingestion-checkpoint.md 1.4 KB
- templates/markdown-frontmatter-ingestion.json 1.1 KB
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.
- 1mo ago First seen · 39 lines · 85 tokens per session scan A 0caac170928d
source-ingestion is a skill published in the GitHub repository ProfSynapse/Synaptic-Tuner (28 stars, last pushed 3d ago), licensed MIT. It adds 85 tokens to every session and 398 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-08.
source-ingestion compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| source-ingestionProfSynapse/Synaptic-Tuner | Skill | 28 | 3d ago | MIT | A | 85 | Claude Code, Codex |
| markitdownK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 62 | Claude Code, Codex |
| agents-llamaindexdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 72 | Claude Code, Codex |
| jupyter-notebooksXiaomiMiMo/MiMo-Code | Skill | 14k | yesterday | MIT | A | 49 | Codex |
| azure-ai-document-intelligence-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 83 | Claude Code |
| azure-ai-document-intelligence-tsmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 47 | Claude Code |
| docetlucbepic/docetl | Skill | 4.2k | 7d ago | MIT | A | 59 | Claude Code, Codex |