sekolah76/syadagentic/evidence-packager
Claude Code and agent skill by sekolah76/syadagentic
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Checking that the SKILL.md file is still in the repository.
Assemble a reproducible, minimal, tamper-evident evidence bundle for a security finding, preserving provenance and separating observed facts from interpretation.
Install
npx vskill@latest install sekolah76/syadagentic/evidence-packagerSKILL.md
Evidence Packager
Mission
Transform verifier outputs into an auditable evidence bundle that triage and report-writing agents can rely on without reconstructing or exaggerating the finding.
This skill packages evidence; it does not invent missing evidence or raise severity.
Evidence classes
- source references and commit/revision;
- environment and configuration manifest;
- exact requests, messages, transactions, or test inputs;
- sanitized responses and outputs;
- logs and stack traces;
- execution/call/state-transition traces;
- before/after state snapshots;
- PoC and test files;
- screenshots only when they add unique evidence;
- artifact hashes;
- reproduction statistics;
- negative controls and mitigation tests.
Workflow
1. Freeze identity and scope
Record target, revision, branch, contract address/network where applicable, build flags, deployment profile, and authorized test environment.
2. Build claim-evidence matrix
For every report claim, link the minimum evidence that supports it. Classify claims:
OBSERVED— directly recorded;DERIVED— calculated from recorded evidence;INFERRED— logically supported but not directly observed;UNVERIFIED— unsupported and must not appear as fact.
3. Preserve provenance
Each artifact records:
- producer/tool;
- timestamp when available;
- command or action that generated it;
- source revision/environment;
- redactions performed;
- cryptographic hash.
Never alter raw evidence. Store sanitized copies separately and document redactions.
4. Minimize sensitive data
Remove or mask credentials, personal data, private keys, session tokens, unrelated tenant data, and production secrets. Preserve only the minimum necessary proof. Do not package live exploit credentials.
5. Normalize reproduction
Provide deterministic steps:
- setup;
- prerequisites;
- build/run commands;
- trigger;
- expected vulnerable result;
- expected safe/control result;
- cleanup;
- reliability statistics.
6. Include negative controls
Examples:
- patched/guarded input does not trigger;
- unauthorized path is rejected;
- alternate configuration is not vulnerable;
- one omitted chain step prevents impact;
- normal protocol sequence preserves invariant.
Negative controls help prove causality.
7. Validate completeness
A report-ready package needs:
- identity/revision;
- root cause;
- reachable attacker path;
- reproducible primitive;
- evidence-backed impact;
- threat-model/scope alignment;
- counter-evidence addressed;
- sanitized artifacts;
- claim matrix with no unsupported critical claim.
8. Produce manifest
Use templates/evidence-manifest.yaml. Suggested directory layout is in references/bundle-layout.md.
Readiness verdicts
REPORT_READYTECHNICALLY_VERIFIED_IMPACT_INCOMPLETEREPRODUCTION_INCOMPLETEPROVENANCE_INCOMPLETESENSITIVE_DATA_REVIEW_REQUIREDNOT_READY
Guardrail
Never fabricate screenshots, logs, hashes, request IDs, transaction hashes, line numbers, success rates, or environment details. Missing data must remain explicitly missing.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingarsenal-skills/skills-lengkap/bug-bounty/evidence-packager/SKILL.md
Popularity
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