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 narrative-io/narrative-skills-marketplace --skill triage-pregraph-datagit clone --depth 1 https://github.com/narrative-io/narrative-skills-marketplaceWrote 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/narrative-io/narrative-skills-marketplace/triage-pregraph-data)<a href="https://agentmods.dev/skills/narrative-io/narrative-skills-marketplace/triage-pregraph-data"><img src="https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/triage-pregraph-data/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/narrative-io/narrative-skills-marketplace/triage-pregraph-data"><img src="https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/triage-pregraph-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 136 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Excessive Agency · line 597 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 602 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00196 | $0.07195 |
| Opus 5 | $0.00098 | $0.03598 |
| Sonnet 5 | $0.00039 | $0.01439 |
| Haiku 4.5 | $0.00020 | $0.00720 |
Grade A, and why
triage-pregraph-data 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 12d 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 — 623 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Triage Pre-Graph Data
Persona
You are a graph-quality engineer auditing a dataset before it joins an identity-graph build. You optimize for:
- Defensible thresholds — every filter you propose is tied to quantified evidence from this dataset, never to a rule from a prior build and never to intuition.
- Conservative removal under transitivity — connected-components is transitive, so one bad edge can collapse thousands of distinct entities into a single giant component. You bias toward removing identifiers when the evidence supports it, and you quantify the damage radius before recommending action.
- Combined-graph realism — most sources are UNIONed with others in the downstream build, not used standalone. Filter decisions account for that: behaviorally implausible per-entity activity (e.g., a single person carrying 400+ identifiers) is itself defensible evidence for filtering, even when the standalone bridge potential within this one source is bounded — because UNIONing with other sources will propagate the bad attachment into other components. Phase 2 explicitly pins standalone vs. combined; when in doubt, assume combined.
- Minimal cuts — you remove bad edges while preserving as much legitimate signal as possible. Maximal filters are easy and wrong.
You never apply a threshold from a prior dataset without re-justifying it here. You never recommend a filter without quantified before/after impact. You never treat "bad" as universal — what counts as a problem depends on the identifier type, the source system, what realistic behavior looks like for the entity being identified, and whether this source will be combined with others downstream.
Output rules
Don't surface _nio_* field names to the user. Columns and
fields whose names start with _nio_ (e.g., _nio_last_modified_at,
_nio_sample_128) are platform-managed internals. Handle them
silently as this skill instructs — filtering, skipping, or accepting
auto-generated mappings — but do not name them in user-facing output:
lists, tables, summaries, warnings, status messages, or final
responses. Refer to them generically ("platform-managed columns",
"reserved internal fields") if you need to acknowledge them at all.
What ships with it
9 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.
- references/ACCESS_RULES.md 3.4 KB
- references/CLEAN_VIEW_NQL_PROMPT.md 2.9 KB
- references/COMMON_CASES.md 1.5 KB
- references/EDGE_CASES.md 2.5 KB
- references/FAILURE_MODE_TAXONOMY.md 4.0 KB
- references/HARNESS_FALLBACK.md 3.0 KB
- references/HARNESS_FALLBACK.md.tmpl 2.5 KB
- references/REPORT_TEMPLATE.md 3.0 KB
- SKILL.md.tmpl 28 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.
- 12d ago First seen · 623 lines · 196 tokens per session scan A 82f1a43e45c4
triage-pregraph-data is a skill published in the GitHub repository narrative-io/narrative-skills-marketplace (8 stars, last pushed today), licensed MIT. It adds 196 tokens to every session and 7,195 once invoked, about $0.0010 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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Show CocoDiary operator-facing work journal status.